Dissertations / Theses on the topic 'Image collection'
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1
GRECO, Luca. "AUTOMATIC ORGANIZATION OF MULTIMEDIA DATA COLLECTIONS." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91234.
Full textAbstract:
La fotografia digitale ha avuto uno sviluppo sempre crescente negli ultimi dieci anni. Prima la diminuzione dei prezzi delle apparecchiature di acquisizione e poi l’integrazione di queste nei dispositivi portatili di uso quotidiano (i.e. smartphone, tablet) ha permesso a chiunque di potere creare e conservare semplicemente un enorme numero di immagini. Inoltre l’immagine stessa é diventata uno strumento di comunicazione, portando alla nascita di social networks basati unicamente sulla condivisione di fotografie (flickr, instagram, etc...).
La gestione di tali quantitá di dati é quindi diventato un problema reale per molti utenti, in quanto il ritrovamento e l’organizzazione di questi dati é un compito dispendioso dal punto di vista del tempo e di difficile integrazione con immagini archiviate nel passato in modo non organizzato.
Questa tesi si pone come obiettivo quello di illustrare le problematiche collegate alla organizzazione di collezioni di immagini che rappresentano eventi reali ed alla fusione tra collezioni che riguardano lo stesso evento ma che provengono da sorgenti diverse. Per effettuare una organizzazione delle collezioni é necessario innanzitutto definire una struttura degli eventi: i metodi proposti presuppongono che ogni evento non sia un blocco unitario di immagini ma che sia costituito da un numero di sotto-elementi distinguibili per la loro collocazione temporale o per il loro contenuto visivo.
Alcune tecniche dello stato dell’arte illustrate in questo lavoro hanno fornito degli strumenti utili per effettuare raggruppamenti di immagini, in special modo dal punto di vista temporale. Anche dal punto di vista del contenuto sono stati proposti diversi metodi di descrizione delle immagini, analizzando caratteristiche globali, quali il colore e la sua distribuzione, o puntuali cercando di individuare e descrivere punti caratteristici per ogni immagine.
L’ultima parte di questa tesi si basa su alcune possibili elaborazioni che si pos- sono effettuare sulle collezioni ordinate o sul risultato della fusione di collezioni differenti. Il primo metodo proposto affronta il problema dell’individuazione di soggetti all’interno delle immagini e della creazione di anteprime per la facilitazione del reperimento delle stesse o per la loro presentazione. Un secondo metodo pro- posto é focalizzato sul taglio estetico delle stesse usando un algoritmo dal basso costo computazionale che senza tenerle esplicitamente in conto rispetta le regole
classiche della composizione fotografica.
Il resto delle applicazioni invece é orientato al ritrovamento di oggetti personali all’interno delle collezioni. Una delle applicazioni usa un database di oggetti conosciuti composto per ognuno di questi da una successione di viste ruotando lo stesso di uno scarto costante. La seconda applicazione, invece, é basata su un database di video di oggetti che ruotano uniformemente e permette di effettuare query usando dei video di costruzione simile.The technological development of digital photography is ever increasing in last ten years. The decreasing costs of the acquisition devices and the integration in commonly used mobile devices (i.e. smartphones, tablets) has given to the mayority of users the possibility to create and store a very large number of images. Furthermore, the image itself has become a communication item leading to the creation of social networks totally based on picture sharing (Flickr, Instagram and so on). Managing this huge amount of data today is a real problem for many users be- cause the retrieval and the organization of these is an annoyng and time-consuming task, difficult to integrate with images stored in the past without a fixed organi- zation. The aim of this thesis is to show the issues related to the problem of managing image collections that represent real events and merging collections regarding the same event but from different sources. To make an organization of the collections it is necassary to define a structure for the events: proposed methods assume that an event is not a single block of images but is composed by a set of sub-events that can be distinguished by using temporal information or visual content. Some of the techniques of the state of the art described in this thesis provided some useful tools to cluster images, especially using the time as basis. Others use visual information to describe images, analyzing global features like color and its distribution or local features, trying to detect and describe intresting points for each image. The last part of this thesis is based on some possible elaboration on the or- dered collections or on the result of different collections fusion. The first proposed method is focused on the problem of subjects extraction in images and in thumb- nails creation to facilitate retrieval and browsing. A second method performs an aesthetical cut on images using a low computational cost algorithm that respects the common rules of photography composition without taking them into account explicitally. The remainder of the applications is oriented to personal objects retrieval in collections. One of the applications uses a multiview database of known objects. The second is based on a database of videos of uniformly rotating objects and the query are done using video with a similar construction.
2
Chang, Michelle T. "Collection understanding." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/69.
Full textAbstract:
Collection understanding shifts the traditional focus of retrieval in large collections from locating specific artifacts to gaining a comprehensive view of the collection. Visualization tools are critical to the process of efficient collection understanding. By presenting simple visual interfaces and intuitive methods of interacting with a collection, users come to understand the essence of the collection by focusing on the artifacts. This thesis discusses a practical approach for enhancing collection understanding in image collections.
3
Loisant, Erwan. "Browsing a Classification of an Image Collection." Phd thesis, Université de Nantes, 2005. http://tel.archives-ouvertes.fr/tel-00465952.
Full textAbstract:
Les données dites multimédia (images, vidéos) se distinguent des données classique par une densité variable d'information et l'impossibilité de normaliser ces données. Du fait de ces particularités, de nouvelles techniques d'indexation et de recherche d'information ont du être etudiées. Il y a principalement deux problèmes a résoudre pour la recherche d'information dans les collections multimédia (ou les bases de données multimédia) : (1) la représentation des données et (2) le processus de recherche du point de vue de l'utilisateur. Dans le cas des bases de données, l'indexation est fortement liée a ces deux problèmes. Dans le cas particulier des images, on distingue trois grandes classes: – la recherche par requêtes formelles, héritée des bases de données classiques ; – la recherche avec boucle de retour, où l'utilisateur fait partie intégrante du processus de recherche ; – la navigation où les images sont organisées en une structure preparée à l'avance, utilisée comme index et comme structure de recherche. C'est sur cette troisième approche que nos travaux se sont portés ; nous nous sommes en effet interessés au treillis de Galois, une structure de graphe permettant d'organiser les éléments d'une relation binaire. Une telle structure de navigation a plusieurs avantages sur une approche classique basée sur des requêtes : en particulier, elle permet d'affranchir l'utilisateur d'une phase de rédaction de requête.
4
LEONARDI, MARCO. "Image Collection Management using Convolutional Neural Networks." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/365014.
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Al giorno d’oggi ormai quasi chiunque possiede uno smartphone dotato di una telecamera ad alta risoluzione. Negli ultimi decenni, i contenuti multimediali (immagini e video) stanno sempre più spesso diventando il principale mezzo di comunicazione.
Dato il continuo calo dei prezzi dei dispositivi di archiviazione, il numero totale di immagini salvate sta aumentando notevolmente, andando così a creare collezioni di immagini sempre più grandi, a tal punto da essere una problema per chi vuole le vuole esplorare.
Data una libreria di immagini, il processo di selezione di un gruppo di foto che rappresenti al meglio le informazioni contenute in essa è condizionato dalle proprietà percettive delle immagini.
Al fine di gestire in modo automatico questa selezione, in letteratura sono stati proposti diversi metodi che sfruttano le proprietà percettive delle immagini. Questi metodi hanno come scopo quello di associare alle immagini un valore numerico che ne rappresenta la presenza o meno di queste proprietà, come ad esempio la qualità, l'estetica o la memorabilità, per poi sfruttarle per selezionare le immagini migliori.
La presente tesi comincia trattando quelle che sono le proprietà delle immagini fondamentali al processo di selezione delle immagini, rispettivamente la qualità e l’estetica delle immagini.
Per prima cosa viene studiata la qualità delle immagini mediante un processo di rilevamento delle anomalie. Questo perché dal punto di vista di un sistema automatico di selezione delle immagini, è più indicato un metodo che sia in grado di distinguere le immagini belle da quelle brutte, piuttosto che un metodo che predica un valore ben correlato con la qualità delle immagini.
Successivamente l’attenzione viene spostata sul problema della valutazione automatica dell’estetica delle immagini. In particolare viene prima proposto un metodo in grado di stimare il grado di bellezza di un'immagine a partire dalla predizione di attributi correlati all’estetica. Successivamente introducendo un metodo per la valutazione automatica dell’estetica fondato su molteplici aspetti delle immagini quali il contenuto semantico, lo stile artistico e lo stile di composizione.
Uno dei tanti motivi per cui si scatta una foto è quello di poter essere poi in grado di rivivere il momento impresso semplicemente riguardando la foto. Le immagini possono essere pertanto viste come un collegamento concreto tra i propri ricordi e gli eventi passati. La memorabilità delle immagini è pertanto una proprietà fondamentale nell’organizzazione delle immagini. Essere in grado di riconoscere queste immagini memorabili, significa poter favorire la loro selezione. Per questo motivo nella suddetta tesi viene presentato un metodo capace di stimare la memorabilità delle immagini. In particolare la soluzione proposta va nella direzione di predire la memorabilità delle immagini scomponendo le proprietà intrinseche delle immagini che influenzano la memorabilità.
Per finire, considerando che le collezioni di immagini tendono spesso ad avere molteplici foto simili tra loro. Al fine di garantire una selezione di immagini il più diversa e rappresentativa possibile, viene proposto un metodo flessibile ed innovativo per riassumere automaticamente le collezioni di immagini. A tal proposito, il metodo introdotto è stato progettato considerando diversi aspetti delle immagini tra cui la categoria della scena, la qualità e l'estetica.Almost everyone carries a high-quality camera in their smartphone and uses it to communicate with other individuals and for the last two decades, people are increasingly making use of images and videos in their transportable communication. As the prices of the storage are decreasing, the number of photos stored is increasing, leading to collections of images whose sizes begin to be a barrier for relieving the captured moments and exploring them. We are submerged by images. In order to ease the problem of oversized image collections, methods that aim to select a subset of photos that best represents them have been designed and proposed in the literature. Those methods typically rely upon the prediction of perceptual features such as, for example, the image quality, aesthetics, and memorability, to select the best images. This thesis starts from the fundamental image properties that guide the image selection, respectively the image quality and image aesthetics. First, the perceived image quality assessment is investigated in an anomaly detection manner, contrary to the most common regression task. This is because rather than predict a score that best correlates to the average human opinion, being able to distinguish good quality images from bad ones, is more suitable for the image collection management problem, furthermore, it requires fewer images to tune the model. Then the problem of automatic assessment of image aesthetics is introduced. In the beginning, presenting a method that learns the aesthetics of a picture on the basis of the prediction of aesthetics-related attributes. Then, a new solution that takes into account the semantic content, the artistic style, and the composition of the image is presented. One of the reasons people take photos is to capture important situations to recall them later on, usually with the intention of afterwards sharing their photos with other people like friends or family members. Photos can be seen as a concrete link between our memories and experienced events. Image memorability can be helpful in the organization of the selected images to better bind the memory of experienced events and the taken images. To this end in this thesis, a method for the estimation of still image memorability is presented. In particular, the proposed method goes in the direction of breaking down the intrinsic image properties that influence the memorability of the pictures. Image collections tend to have several similar images. This is because to ensure the best shot, people usually take a series of photos of the same scene. To guarantee a diverse and representative selection of images from a large collection, this thesis concludes by proposing a flexible and innovative framework that can be used to both explore large-scale image datasets and to summarize photo albums. The proposed method is designed to exploit different aspects of the images, such as the scene category, image quality, and image aesthetics.
5
Torok, Matthew M. "Autonomous Sample Collection Using Image-Based 3D Reconstructions." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/32163.
Full textAbstract:
Sample collection is a common task for mobile robots and there are a variety of manipulators
available to perform this operation. This thesis presents a novel scoop sample collection
system design which is able to both collect and contain a sample using the same hardware.
To ease the operator burden during sampling the scoop system is paired with new
semi-autonomous and fully autonomous collection techniques. These are derived from data
provided by colored 3D point clouds produced via image-based 3D reconstructions. A custom
robotic mobility platform, the Scoopbot, is introduced to perform completely automated
imaging of the sampling area and also to pick up the desired sample. The Scoopbot is wirelessly
controlled by a base station computer which runs software to create and analyze the
3D point cloud models. Relevant sample parameters, such as dimensions and volume, are
calculated from the reconstruction and reported to the operator. During tests of the system
in full (48 images) and fast (6-8 images) modes the Scoopbot was able to identify and
retrieve a sample without any human intervention. Finally, a new building crack detection
algorithm (CDA) is created to use the 3D point cloud outputs from image sets gathered by
a mobile robot. The CDA was shown to successfully identify and color-code several cracks
in a full-scale concrete building element.Master of Science
6
Dyer, Emily L. "Sugar nine : a collection of short stories /." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2308.pdf.
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Buenrostro-Nava, Marco T. "Characterization of GFP Gene Expression Using an Automated Image Collection System and Image Analysis." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1032794680.
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Christiansen, Naomi Lund. "Learning to Create: A Collection of Personal Essays." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd485.pdf.
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Lloyd, Jana. "Finding Where I Am: A Collection of Creative Nonfiction - Creative thesis." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd771.pdf.
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Watson, Myles G. "Does the Halting Necessary for Hardware Trace Collection Inordinately Perturb the Results?" Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd594.pdf.
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Khan, Erum. "IMAGE-BASED MATERIAL EDITING." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3242.
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Photo editing software allows digital images to be blurred, warped or re-colored at the touch of a button. However, it is not currently possible to change the material appearance of an object except by painstakingly painting over the appropriate pixels. Here we present a set of methods for automatically replacing one material with another, completely different material, starting with only a single high dynamic range image, and an alpha matte specifying the object. Our approach exploits the fact that human vision is surprisingly tolerant of certain (sometimes enormous) physical inaccuracies. Thus, it may be possible to produce a visually compelling illusion of material transformations, without fully reconstructing the lighting or geometry. We employ a range of algorithms depending on the target material. First, an approximate depth map is derived from the image intensities using bilateral filters. The resulting surface normals are then used to map data onto the surface of the object to specify its material appearance. To create transparent or translucent materials, the mapped data are derived from the object's background. To create textured materials, the mapped data are a texture map. The surface normals can also be used to apply arbitrary bidirectional reflectance distribution functions to the surface, allowing us to simulate a wide range of materials. To facilitate the process of material editing, we generate the HDR image with a novel algorithm, that is robust against noise in individual exposures. This ensures that any noise, which would possibly have affected the shape recovery of the objects adversely, will be removed. We also present an algorithm to automatically generate alpha mattes. This algorithm requires as input two images--one where the object is in focus, and one where the background is in focus--and then automatically produces an approximate matte, indicating which pixels belong to the object. The result is then improved by a second algorithm to generate an accurate alpha matte, which can be given as input to our material editing techniques.Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science
12
Xiao, Jiangjian. "IMAGE BASED VIEW SYNTHESIS." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3247.
Full textAbstract:
This dissertation deals with the image-based approach to synthesize a virtual scene using sparse images or a video sequence without the use of 3D models. In our scenario, a real dynamic or static scene is captured by a set of un-calibrated images from different viewpoints. After automatically recovering the geometric transformations between these images, a series of photo-realistic virtual views can be rendered and a virtual environment covered by these several static cameras can be synthesized. This image-based approach has applications in object recognition, object transfer, video synthesis and video compression. In this dissertation, I have contributed to several sub-problems related to image based view synthesis. Before image-based view synthesis can be performed, images need to be segmented into individual objects. Assuming that a scene can approximately be described by multiple planar regions, I have developed a robust and novel approach to automatically extract a set of affine or projective transformations induced by these regions, correctly detect the occlusion pixels over multiple consecutive frames, and accurately segment the scene into several motion layers. First, a number of seed regions using correspondences in two frames are determined, and the seed regions are expanded and outliers are rejected employing the graph cuts method integrated with level set representation. Next, these initial regions are merged into several initial layers according to the motion similarity. Third, the occlusion order constraints on multiple frames are explored, which guarantee that the occlusion area increases with the temporal order in a short period and effectively maintains segmentation consistency over multiple consecutive frames. Then the correct layer segmentation is obtained by using a graph cuts algorithm, and the occlusions between the overlapping layers are explicitly determined. Several experimental results are demonstrated to show that our approach is effective and robust. Recovering the geometrical transformations among images of a scene is a prerequisite step for image-based view synthesis. I have developed a wide baseline matching algorithm to identify the correspondences between two un-calibrated images, and to further determine the geometric relationship between images, such as epipolar geometry or projective transformation. In our approach, a set of salient features, edge-corners, are detected to provide robust and consistent matching primitives. Then, based on the Singular Value Decomposition (SVD) of an affine matrix, we effectively quantize the search space into two independent subspaces for rotation angle and scaling factor, and then we use a two-stage affine matching algorithm to obtain robust matches between these two frames. The experimental results on a number of wide baseline images strongly demonstrate that our matching method outperforms the state-of-art algorithms even under the significant camera motion, illumination variation, occlusion, and self-similarity. Given the wide baseline matches among images I have developed a novel method for Dynamic view morphing. Dynamic view morphing deals with the scenes containing moving objects in presence of camera motion. The objects can be rigid or non-rigid, each of them can move in any orientation or direction. The proposed method can generate a series of continuous and physically accurate intermediate views from only two reference images without any knowledge about 3D. The procedure consists of three steps: segmentation, morphing and post-warping. Given a boundary connection constraint, the source and target scenes are segmented into several layers for morphing. Based on the decomposition of affine transformation between corresponding points, we uniquely determine a physically correct path for post-warping by the least distortion method. I have successfully generalized the dynamic scene synthesis problem from the simple scene with only rotation to the dynamic scene containing non-rigid objects. My method can handle dynamic rigid or non-rigid objects, including complicated objects such as humans. Finally, I have also developed a novel algorithm for tri-view morphing. This is an efficient image-based method to navigate a scene based on only three wide-baseline un-calibrated images without the explicit use of a 3D model. After automatically recovering corresponding points between each pair of images using our wide baseline matching method, an accurate trifocal plane is extracted from the trifocal tensor implied in these three images. Next, employing a trinocular-stereo algorithm and barycentric blending technique, we generate an arbitrary novel view to navigate the scene in a 2D space. Furthermore, after self-calibration of the cameras, a 3D model can also be correctly augmented into this virtual environment synthesized by the tri-view morphing algorithm. We have applied our view morphing framework to several interesting applications: 4D video synthesis, automatic target recognition, multi-view morphing.Ph.D.
School of Computer Science
Engineering and Computer Science
Computer Science
13
Rupp, Ben. "Typographic and image explorations." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5023.
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These typographic and image based designs explore multiple components of design including: legibility, manipulation, communication, and conventionalism with an emphasis on information graphics. Drawing from influences of the Futurist designers and Dadaist typography, I take the mundane details of an object such as a baseball or car to create excessive amounts of visually stimulating graphics. Through this process of gathering detailed information, I take photographs, draw by hand and scan images to fully understand and portray an objects identity until I feel satisfied that the objects visual potential has been exhausted. These personal expressions are combined to form printed material and book designs. These works explore the experimental use of type and image montage to break the rules of graphic design while keeping some of the traditional aesthetics associated with this discipline. My love for detailed subject matter may be seen in my books, The Baseball and 1 (One) which include subject matter from my childhood interests such as rare 1/1 baseball cards.ID: 029810236; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.F.A.)--University of Central Florida, 2011.; Includes bibliographical references (p. 25).
M.F.A.
Masters
Visual Art and Design
Arts and Humanities
Studio Art and the Computer
14
Singh, Anurag. "Multi-Resolution Superpixels for Visual Saliency Detection in a Large Image Collection." Thesis, University of Louisiana at Lafayette, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3718565.
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Finding what attracts attention is an important task for visual processing. The visual saliency detection finds location of focus of visual attention on the most important or stand-out object in an image or a video sequence. These stand-out objects are composed of regions or superpixels. Moreover, the fixations occur in clusters, which are simulated using superpixels, where superpixels are clusters of pixels bound by the Gestalt principle for perceptual grouping. The visual saliency detection algorithms presented in the dissertation build on the premise that salient regions are high in color contrast, and when compared to other regions, they stand-out.
The most intuitive method to find the salient region is by comparing it to every other region. A region is ranked by its dissimilarities with respect to other regions and highlighting the statistically salient region proportional to their rank. Another way to compare regions is with respect to its local surrounding. Each region is represented with its Dominant Color Descriptor and the color difference between neighbors is found using the Earth Mover's Distance. The multi-resolution framework ensures robustness to the object size, location, and background type.
Image saliency detection using region contrast is often based on the premise that a salient region has a contrast with the background. But the natural biological method involves comparison to a large collection of similar regions. A novel method is presented to efficiently compare the image region to the regions derived from a large, stored collection of images. Intuitively finding video saliency is derived as a special case of a large collection with temporal reference. The various methods presented in the dissertation are tested on publicly available data sets and performs better than existing state-of-the-art methods.
15
Rourke, Antony. "Applications of image processing techniques to data collection and monitoring in transport." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262454.
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Snead, Michael. "A METHOD OF CONTENT-BASED IMAGE RETRIEVAL FOR THE GENERATION OF IMAGE MOSAICS." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2370.
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An image mosaic is an artistic work that uses a number of smaller images creatively combined together to form another larger image. Each building block image, or tessera, has its own distinctive and meaningful content, but when viewed from a distance the tesserae come together to form an aesthetically pleasing montage. This work presents the design and implementation of MosaiX, a computer software system that generates these image mosaics automatically. To control the image mosaic creation process, several parameters are used within the system. Each parameter affects the overall mosaic quality, as well as required processing time, in its own unique way. A detailed analysis is performed to evaluate each parameter individually. Additionally, this work proposes two novel ways by which to evaluate the quality of an image mosaic in a quantitative way. One method focuses on the perceptual color accuracy of the mosaic reproduction, while the other concentrates on edge replication. Both measures include preprocessing to take into account the unique visual features present in an image mosaic. Doing so minimizes quality penalization due the inherent properties of an image mosaic that make them visually appealing.M.S.Cp.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering MSCpE
17
Gadkari, Dhanashree. "IMAGE QUALITY ANALYSIS USING GLCM." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3246.
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Gray level co-occurrence matrix has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the gray level co-occurrence matrix help understand the details about the overall image content. The aim of this research is to investigate the use of the gray level co-occurrence matrix technique as an absolute image quality metric. The underlying hypothesis is that image quality can be determined by a comparative process in which a sequence of images is compared to each other to determine the point of diminishing returns. An attempt is made to study whether the curve of image textural features versus image memory sizes can be used to decide the optimal image size. The approach used digitized images that were stored at several levels of compression. GLCM proves to be a good discriminator in studying different images however no such claim can be made for image quality. Hence the search for the best image quality metric continues.M.S.
Other
Arts and Sciences
Modeling and Simulation
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Panzitta, Michael James. "Tessellation for computer image generation." Master's thesis, University of Central Florida, 1987. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/2611.
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University of Central Florida College of Engineering ThesisOf the vast number of algorithms used in modern computer image generation, most rely upon data bases comprised of polygons. This becomes a severe impediment when curved objects must be modeled and displayed with an acceptable level of speed and accuracy. A technique is needed to provide a means of modeling curved surfaces, storing them in a data base, and displaying them using existing algorithms. Tessellation is one methd of achieving such goals.
M.S.
Masters;
College of Engineering
Engineering
Engineering
51 p.
vi, 51 leaves, bound : ill. ; 28 cm.
19
Xu, Dongjiang. "HYBRID AND HIERARCHICAL IMAGE REGISTRATION TECHNIQUES." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3232.
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A large number of image registration techniques have been developed for various types of sensors and applications, with the aim to improve the accuracy, computational complexity, generality, and robustness. They can be broadly classified into two categories: intensity-based and feature-based methods. The primary drawback of the intensity-based approaches is that it may fail unless the two images are misaligned by a moderate difference in scale, rotation, and translation. In addition, intensity-based methods lack the robustness in the presence of non-spatial distortions due to different imaging conditions between images. In this dissertation, the image registration is formulated as a two-stage hybrid approach combining both an initial matching and a final matching in a coarse-to-fine manner. In the proposed hybrid framework, the initial matching algorithm is applied at the coarsest scale of images, where the approximate transformation parameters could be first estimated. Subsequently, the robust gradient-based estimation algorithm is incorporated into the proposed hybrid approach using a multi-resolution scheme. Several novel and effective initial matching algorithms have been proposed for the first stage. The variations of the intensity characteristics between images may be large and non-uniform because of non-spatial distortions. Therefore, in order to effectively incorporate the gradient-based robust estimation into our proposed framework, one of the fundamental questions should be addressed: what is a good image representation to work with using gradient-based robust estimation under non-spatial distortions. With the initial matching algorithms applied at the highest level of decomposition, the proposed hybrid approach exhibits superior range of convergence. The gradient-based algorithms in the second stage yield a robust solution that precisely registers images with sub-pixel accuracy. A hierarchical iterative searching further enhances the convergence range and rate. The simulation results demonstrated that the proposed techniques provide significant benefits to the performance of image registration.Ph.D.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Electrical Engineering
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Frei, Elizabeth. "Neurocognitive Correlates of Body Image Disturbance." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4059.
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Body image, broadly defined as an individual's general experience of his or her physical appearance, is a multidimensional phenomenon that has been found to affect functioning throughout the lifetime. Although some degree of dissatisfaction has been found to be a common aspect of the female experience, research suggests that a disturbance in body image can result in a number of clinical complications, particularly the development of an eating disorder (ED). Despite the relationship between body image and EDs, examinations of the cognitive underpinnings of the relationship between body image disturbance and EDs are relatively few and inconclusive. Research indicates that individuals with an ED diagnosis exhibit cognitive rigidity (deficits in set-shifting ability) and weak central coherence(as demonstrated by performance on measures of information processing style). However, research has not established whether individuals with body image disturbance who do not meet criteria for an ED exhibit comparable performance. The aim of the current study was to determine whether individuals with body image disturbance exhibit similar patterns of neuropsychological functioning. A sample of women with high levels of body image disturbance completed a battery of cognitive tests and outcomes were compared to a group of women with little disturbance and also compared with performance of individuals with diagnosed EDs as cited in previous studies. Overall, the results do not clearly indicate that women with body image disturbance have difficulties with set-shifting tasks and global information processing, however some preliminary patterns did emerge. These preliminary findings extend existing theoretical models of body image and have potential to inform clinical efforts aimed at improving treatment protocols for body image disturbance and EDs by targeting these aspects of neurocognition during treatment.Ph.D.
Department of Psychology
Sciences
Psychology PhD
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Walton, Elizabeth. "TRUTHS, REALITIES AND THE EASILY TRANSMITTED IMAGE." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3922.
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By the documenting and examining things that are often overlooked in everyday life, I try to find the beauty of these objects, of people, their lives and their homes. I am interested in the current technology and the influence of the easily transmitted image. What is the truth and reality of the images shared by the current youth culture because of the use of camera phones, digital image takers, and the constant image transmissions through online social networking venues such as My Space and FaceBook? The current digital image is no longer a precious object as it was in the past. The easy accessibility of technology and the growing popularity of an affordable camera have made these images a common object, easily replaced. It is my interest or concern with this technology that led me to my final body of work, images of this youth culture.M.F.A.
Department of Art
Arts and Humanities
Studio Art and the Computer MFA
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White, Brandyn A. "Using FPGAs to perform embedded image registration." Honors in the Major Thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1337.
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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.Bachelors
Engineering and Computer Science
Computer Engineering
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Hall-Downs, Liz. "My arthritic heart : a collection of poetry; and, Making a writer : poetry, fiction, performance and illness /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16739.pdf.
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Russo, Charles. "AVL AND RESPONSE TIME REDUCTION: IMAGE AND REALITY." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2647.
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Automatic vehicle locator (AVL) systems, utilizing military's global positioning system, may impact response time to law enforcement calls for service. In order to evaluate the impacts of AVL on response time to calls for service at the Altamonte Springs Police Department (ASPD), computer aided dispatch (CAD) data from years 1999 to 2003 were analyzed. The analysis of each of the data sets consisted of an initial sequence chart, an analysis of variance (ANOVA), a means plot and a linear regression. Interviews of ASPD personnel were conducted to understand user perceptions of AVL. Based on the ANOVA results, trends indicate that weekly response time was significantly lower during the AVL partial implementation period than during the pre or post AVL stages across all categories of data analyzed. Based on the regression results, trends indicate that the overall impact of AVL on response time for all categories analyzed is flat and show AVL as having no overall impact on response time across all calls for service analyzed. An exception to this is the findings related to Priority 3 calls for service; however this exception can be attributed to performance during the pre AVL implementation stage. These results do not suggest a capability for AVL to reduce response time to calls for service in a meaningful comprehensive way. Thus, the study's hypotheses are not supported.Ph.D.
Department of Criminal Justice and Legal Studies
Health and Public Affairs
Public Affairs: Ph.D.
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Shah, Musawir. "IMAGE-SPACE APPROACH TO REAL-TIME REALISTIC RENDERING." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3245.
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One of the main goals of computer graphics is the fast synthesis of photorealistic image of virtual 3D scenes. The work presented in this thesis addresses this goal of speed and realism. In real-time realistic rendering, we encounter certain problems that are difficult to solve in the traditional 3-dimensional geometric space. We show that using an image-space approach can provide effective solutions to these problems. Unlike geometric space algorithms that operate on 3D primitives such as points, edges, and polygons, image-space algorithms operate on 2D snapshot images of the 3D geometric data. Operating in image-space effectively decouples the geometric complexity of the 3D data from the run-time of the rendering algorithm. Other important advantages of image-space algorithms include ease of implementation on modern graphics hardware, and fast computation of approximate solutions to certain lighting calculations. We have applied the image-space approach and developed algorithms for three prominent problems in real-time realistic rendering, namely, representing and lighting large 3D scenes in the context of grass rendering, rendering caustics, which is a complex indirect illumination effect, and subsurface scattering for rendering of translucent objects.Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science PhD
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Ebner, Bonnie. "MANY TELLING MOMENTS:THE ESSENCE OF FRAGMENTED IMAGE CULTURE." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3376.
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My purpose in entering the UCF MFA program was to further explore and develop my passion for photography. During my time in the program, I developed my methodology--from having the traditional photography paradigm ingrained in my mind (and wanting to fit into it) to accepting and valuing my own unique process. I construct installations using diverse imagery and non-traditional presentation. In my installations, one may witness a reflection of the contemporary pace of image perception--fragmented, complex, abundant, and disordered. Together, images and their arrangements are used to create a unified piece that satisfies a new system within apparent disorder. The resulting installations summon the sensation of thinking and processing information in a new way, allowing for re-contextualization of fragmented imagery. Technology has pushed photography to evolve. Previously held traditional notions of photography as art (e.g., "single telling moment" photographs and similar subject matter) are now being confronted by a vernacular of "many telling moments". The current state of the art world is in flux, and is greatly influenced by the faster pace set by technology; I coin our new vernacular Image Culture.M.F.A.
Department of Art
Arts and Humanities
Studio Art and the Computer MFA
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Lentz, Joshua K. "Perceptual image quality of launch vehicle imaging telescopes." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4963.
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A large fleet (in the hundreds) of high quality telescopes are used for tracking and imaging of launch vehicles during ascent from Cape Canaveral Air Force Station and Kennedy Space Center. A maintenance tool has been development for use with these telescopes. The tool requires rankings of telescope condition in terms of the ability to generate useful imagery. It is thus a case of ranking telescope conditions on the basis of the perceptual image quality of their imagery. Perceptual image quality metrics that are well-correlated to observer opinions of image quality have been available for several decades. However, these are quite limited in their applications, not being designed to compare various optical systems. The perceptual correlation of the metrics implies that a constant image quality curve (such as the boundary between two qualitative categories labeled as excellent and good) would have a constant value of the metric. This is not the case if the optical system parameters (such as object distance or aperture diameter) are varied. No published data on such direct variation is available and this dissertation presents an investigation made into the perceptual metric responses as system parameters are varied. This investigation leads to some non-intuitive conclusions. The perceptual metrics are reviewed as well as more common metrics and their inability to perform in the necessary manner for the research of interest. Perceptual test methods are also reviewed, as is the human visual system. Image formation theory is presented in a non-traditional form, yielding the surprising result that perceptual image quality is invariant under changes in focal length if the final displayed image remains constant. Experimental results are presented of changes in perceived image quality as aperture diameter is varied. Results are analyzed and shortcomings in the process and metrics are discussed.; Using the test results, predictions are made about the form of the metric response to object distance variations, and subsequent testing was conducted to validate the predictions. The utility of the results, limitations of applicability, and the immediate ability to further generalize the results is presented.ID: 030423279; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 151-155).
Ph.D.
Doctorate
Center for Research and Education in Optics and Lasers
Optics and Photonics
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Kamps, Cristi L. "The relationship between identity development and body image." Honors in the Major Thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1094.
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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.Bachelors
Sciences
Psychology
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Bogosian, Josef Roach. "Image collection optimization in the design and operation of lightweight, low areal-density space telescopes." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45240.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.Includes bibliographical references (p. 149-155).
Demand for space imagery has increased dramatically over the past several decades. Scientific and government agencies rely on Earth-observing space assets for a variety of functions, including mapping, agriculture, and intelligence. In recent years, online interactive mapping services have created a large demand for high-resolution commercial satellite imagery. The satellite systems launched to meet the demand for imagery have two major objectives: 1) efficient global Earth coverage and 2) responsiveness to real-time events. Depending on the specific application, mission architects may particularly value one objective. Commercial satellites need to fulfill tasking requests from customers and are primarily focused on global accessibility and efficient imaging. Engineers may design military or environmental warning satellites, on the other hand, to focus on quickly responding to events in unpredictable locations. This thesis investigates two elements in support of the design of Earth observing satellite systems. The first part is a study of a responsive satellite constellation architecture. The focus within the Responsive Space community has primarily been on small, lightweight, disposable satellite systems. Industry and academia have done less work to consider architectures that meet the responsiveness objective while still providing global coverage with sustainable orbits. This thesis analyzes an architecture that supports objectives of efficient coverage of the globe and also responsiveness to arising targets. The space community has also demonstrated significant interest in lightweight space telescopes. These systems offer launch cost savings and, in the case of segmented aperture optics, can be stowed and deployed on orbit.
(cont.) The reduction in mass comes, however, at the price of structural flexibility, which affects the satellite's ability to efficiently image targets. The second part of this thesis explores how satellite dynamic properties affect the ability to provide efficient imaging. Satellite scheduling optimization formulations, including graph search, integer programming, and dynamic programming, enable evaluation of imaging efficiency. Integration of imaging performance metrics into a trade-space analysis tool allows for more informed decisions early in the satellite design process.
by Josef Roach Bogosian.
S.M.
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Muteba, Kande Joel. "Multi-Objective Heterogeneous Multi-Asset Collection Scheduling Optimization with High-Level Information Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42557.
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Surveillance of areas of interest through image acquisition is becoming increasingly essential for intelligence services. Several types of platforms equipped with sensors are used to collect good quality images of the areas to be monitored. The evolution of this field has different levels: some studies are only based on improving the quality of the images acquired through sensors, others on the efficiency of platforms such as satellites, aircraft and vessels which will navigate the areas of interest and yet others are based on the optimization of the trajectory of these platforms. Apart from these, intelligence organizations demonstrate an interest in carrying out such missions by sharing their resources. This thesis presents a framework whose main objective is to allow intelligence organizations to carry out their observation missions by pooling their platforms with other organizations having similar or geographically close targets. This framework will use Multi-Objective Optimization algorithms based on genetic algorithms to optimize such mission planning. Research on sensor fusion will be a key point to this thesis, researchers have proven that an image resulting from the fusion of two images from different sensors can provide more information compared to the original images. Given that the main goal for observation missions is to collect quality imagery, this work will also use High-Level Information Fusion to optimize mission planning based on image quality and fusion. The results of the experiments not only demonstrate the added value of this framework but also highlight its strengths (through performance metrics) as compared to other similar frameworks.
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Thurlow, Katherine. "Female Collaborators and Resisters in Vichy France: Individual Memory, Collective Image." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/964.
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Women in Vichy and Nazi Occupied France often found themselves facing situations in which their societal gender roles greatly influenced not only the choices that they made but also how their actions were perceived within society. Many women acted as either collaborators, resisters, or both to maintain their livelihood. How they were perceived was based in large part by how they fit into their prescribed social roles, in particular that of the self-sacrificing mother. Women who participated on both sides were often following their social expectations and obligations. Following the decline of Vichy and the end of the Occupation, however, there was an immense shift in perception that determined what a good mother was. During the Vichy regime, collaboration with both the regime was highly encouraged and expected. Thus, women collaborating during the Vichy regime were praised, only to be condemned after the occupation. Women who resisted Vichy and the Nazis were scorned, only to be glorified after. It is clear that women in both of these categories had similar motivations, but a drastic shift in public opinion made these women appear in a different light. There were only slight differences that separated many of the women who were judged based on how they adhered to their female roles within society, whether that society be under Vichy or after its decline, often without considering the difficult situations that women lived in.B.A.
Bachelors
Arts and Humanities
History
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Duffing, Gérald. "Approche thématico-visuelle pour l'organisation et l'interrogation interactive d'une collection d'images hétérogènes." Nancy 2, 1999. http://www.theses.fr/1999NAN22005.
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La recherche d'images constitue une branche spécifique de la recherche documentaire. Dans cette thèse, nous proposons une nouvelle approche thématico-visuelle reposant sur une double description des images selon un axe thématique et un axe visuel. Nous défendons l'idée que ces deux approches sont complémentaires et que, dans le cas de corpus partiellement indexé de manière thématique, l'analyse d'image peut apporter une contribution origniale à la problématique de la recherche d'images. La collection d'images est organisée sous forme de deux structures hiérarchiques (les dendrogrammes) faisant apparaître les similitudes existant entre les images aux niveaux thématique et visuel. Nous faisons l'hypothèse que les contenus thématique et visuel ne sont pas indépendants. Outre l'exploitation individuelle des dendrogrammes, nous proposons une approche combinée propre à faire apparaître les similarités thématico-visuelles entre les images, en faisant coopérer les deux dendrogrammes par le mécanisme de tunne. Par ailleurs, l'intégration thématico-visuelle, aux niveaux de l'indexation des images, de l'expression du besoin de l'utilisateur et de l'évaluation de la pertinence d'une image par rapport à une requête précise est assurée par le concept de réalisation, qui établit la liaison entre une thématique et ses différentes représentations visuelles possibles. Au coeur d'un mécanisme de bouclage de pertinence thémético-visuel, nous introduisons le concept d'image virtuelle. Médiateur entre ce que l'utilisateur recherche et ce que le système peut apporter, il synthétise les traits saillants du besoin de l'utilisateur et guide la recherche. L'image virtuelle est enrichie au fur et à mesure des interactions avec l'utilisateur, grâce à des modalités supplémentaires de jugement des images. Un prototype concrétise la majeure partie de nos propositions et a permis leur évaluation sur un corpus de plus de deux mille imagesThe search(research) for images establishes(constitutes) a specific branch of the document retrieval. In this thesis(theory), we propose a new thématico-visual approach resting(basing) on a double description of the images according to a thematic axis and a visual axis. We defend(forbid) the idea that these two approaches are complementary(additional) and that, in the case of corpus partially indexed in a thematic way, the analysis of image can make an origniale contribution in the problem of the search(research) for images. The collection of images is organized in the form of two hierarchical structures (dendrogrammes) revealing the similarities existing between the images at the thematic and visual levels. We make the hypothesis that the thematic and visual contents are not independent. Besides the individual exploitation(operation) of dendrogrammes, we propose an approach combined(organized) appropriate to reveal the thématico-visual similarity between the images, by making cooperate both dendrogrammes by the mechanism of tunne. Besides, the thématico-visual integration, at the levels of the indexation of the images, the expression of the need for the user and for the evaluation of the relevance of an image with regard to(compared with) a precise request is assured(insured) by the concept of realization, which establishes the connection between a theme and its various possible visual representations. At the heart of a mechanism of thémético-visual finishing(locking up) of relevance, we introduce the concept of virtual image. Mediator enters what the user looks for and what the system can bring, he synthesizes the striking lines(features) of the need for the user and guides the search(research). The virtual image is enriched according to the interactions with the user, thanks to additional modalities(methods) of judgment(sentence) of the images. A prototype concretizes the major part of our proposals and allowed their evaluation on a corpus of more than two thousand images
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ABDELWAHAB, MOATAZ MAHMOUD. "NOVEL FACIAL IMAGE RECOGNITION TECHNIQUES EMPLOYING PRINCIPAL COMPONENT ANALYSIS." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2181.
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Recently, pattern recognition/classification has received considerable attention in diverse engineering fields such as biomedical imaging, speaker identification, fingerprint recognition, and face recognition, etc. This study contributes novel techniques for facial image recognition based on the Two dimensional principal component analysis in the transform domain. These algorithms reduce the storage requirements by an order of magnitude and the computational complexity by a factor of 2 while maintaining the excellent recognition accuracy of the recently reported methods. The proposed recognition systems employ different structures, multicriteria and multitransform. In addition, principal component analysis in the transform domain in conjunction with vector quantization is developed which result in further improvement in the recognition accuracy and dimensionality reduction. Experimental results confirm the excellent properties of the proposed algorithms.Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering PhD
34
Alnasser, Mais. "PHASE-SHIFTING HAAR WAVELETS FOR IMAGE-BASED RENDERING APPLICATIONS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4181.
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In this thesis, we establish the underlying research background necessary for tackling the problem of phase-shifting in the wavelet transform domain. Solving this problem is the key to reducing the redundancy and huge storage requirement in Image-Based Rendering (IBR) applications, which utilize wavelets. Image-based methods for rendering of dynamic glossy objects do not truly scale to all possible frequencies and high sampling rates without trading storage, glossiness, or computational time, while varying both lighting and viewpoint. This is due to the fact that current approaches are limited to precomputed radiance transfer (PRT), which is prohibitively expensive in terms of memory requirements when both lighting and viewpoint variation are required together with high sampling rates for high frequency lighting of glossy material. At the root of the above problem is the lack of a closed-form run-time solution to the nontrivial problem of rotating wavelets, which we solve in this thesis. We specifically target Haar wavelets, which provide the most efficient solution to solving the tripleproduct integral, which in turn is fundamental to solving the environment lighting problem. The problem is divided into three main steps, each of which provides several key theoretical contributions. First, we derive closed-form expressions for linear phase-shifting in the Haar domain for one-dimensional signals, which can be generalized to N-dimensional signals due to separability. Second, we derive closed-form expressions for linear phase-shifting for two-dimensional signals that are projected using the non-separable Haar transform. For both cases, we show that the coefficients of the shifted data can be computed solely by using the coefficients of the original data. We also derive closed-form expressions for non-integer shifts, which has not been reported before. As an application example of these results, we apply the new formulae to image shifting, rotation and interpolation, and demonstrate the superiority of the proposed solutions to existing methods. In the third step, we establish a solution for non-linear phase-shifting of two-dimensional non-separable Haar-transformed signals, which is directly applicable to the original problem of image-based rendering. Our solution is the first attempt to provide an analytic solution to the difficult problem of rotating wavelets in the transform domain.Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science PhD
35
Samuel, Kegan. "Gradient based MRF learning for image restoration and segmentation." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5480.
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The undirected graphical model or Markov Random Field (MRF) is one of the more popular models used in computer vision and is the type of model with which this work is concerned. Models based on these methods have proven to be particularly useful in low-level vision systems and have led to state-of-the-art results for MRF-based systems. The research presented will describe a new discriminative training algorithm and its implementation. The MRF model will be trained by optimizing its parameters so that the minimum energy solution of the model is as similar as possible to the ground-truth. While previous work has relied on time-consuming iterative approximations or stochastic approximations, this work will demonstrate how implicit differentiation can be used to analytically differentiate the overall training loss with respect to the MRF parameters. This framework leads to an efficient, flexible learning algorithm that can be applied to a number of different models. The effectiveness of the proposed learning method will then be demonstrated by learning the parameters of two related models applied to the task of denoising images. The experimental results will demonstrate that the proposed learning algorithm is comparable and, at times, better than previous training methods applied to the same tasks. A new segmentation model will also be introduced and trained using the proposed learning method. The proposed segmentation model is based on an energy minimization framework that is novel in how it incorporates priors on the size of the segments in a way that is straightforward to implement. While other methods, such as normalized cuts, tend to produce segmentations of similar sizes, this method is able to overcome that problem and produce more realistic segmentations.Ph.D.
Doctorate
Computer Science
Engineering and Computer Science
Computer Science
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Hague, George Eric. "Color image enhancement using both chromatic and luminance components." Master's thesis, University of Central Florida, 1994. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/20326.
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University of Central Florida College of Engineering ThesisA vast amount of work has been published regarding grayscale processing of digital images. Although some of this work has been adapted for color images, many of the resulting algorithms neglect the correlation that exists between the individual RGB color components. Consequently, they introduce color artifacts. Attempts have been amde to decouple the RGB components through color space transformations that isolate the luminance from the chromatic information. Color image enhancement is then considered a two step process, where the luminance and the chromatic components are processed independently. However, the RGB color space only has a finite numer of available colors, which limits the attainable chromatic values for any given luminance level. This recoupling of the chromatic and luminance components constrains the independent processing of these two components. This thesis investigates this coupling and how it effects a number of color image processing algorithms. Specifically, new algorithms for color histogram equalization, automatic white balance and color filtering are presented using the C-Y (color difference) color model. Coupling the chromatic components to the luminance produces improved white balanced results and enhances the ability of histogram equalization to increase saturation contrast. Furthermore, several adaptive filters are implemented using the C-Y color space. Because this color model closely matches the human concept of color, the noise is filtered from color components that closely match the perceptually significant quantities. This improves the results for these adaptive filters, but also requires special attention when filtering the hue component. Improper filtering of the hue component can often lead to color artifacts.
M.S.;
Electrical and Computer Engineering
Engineering;
Computer Engineering
182 p.
viii, 182 leaves, bound : ill. ; 28 cm.
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Miric, Elizabeth. "Pathological, morphological and molecular studies of a worldwide collection of the sunflower pathogens phomopsis helianthi and phoma macdonaldii /." St. Lucia, Qld, 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16548.pdf.
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Moore, Thomas Brendan. "Learning Geometry-Free Face Re-lighting." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3353.
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The accurate modeling of the variability of illumination in a class of images is a fundamental problem that occurs in many areas of computer vision and graphics. For instance, in computer vision there is the problem of facial recognition. Simply, one would hope to be able to identify a known face under any illumination. On the other hand, in graphics one could imagine a system that, given an image, the illumination model could be identified and then used to create new images. In this thesis we describe a method for learning the illumination model for a class of images. Once the model is learnt it is then used to render new images of the same class under the new illumination. Results are shown for both synthetic and real images. The key contribution of this work is that images of known objects can be re-illuminated using small patches of image data and relatively simple kernel regression models. Additionally, our approach does not require any knowledge of the geometry of the class of objects under consideration making it relatively straightforward to implement. As part of this work we will examine existing geometric and image-based re-lighting techniques; give a detailed description of our geometry-free face re-lighting process; present non-linear regression and basis selection with respect to image synthesis; discuss system limitations; and look at possible extensions and future work.M.S.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science MS
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Schlosser, Danielle M. "Woman Tagged : a poetry collection deploying a Fourth Wave materialist feminist approach to corporeal image transposition." Thesis, University of Gloucestershire, 2015. http://eprints.glos.ac.uk/4176/.
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This thesis is a creative and critical examination of transposing corporeal imagery from quotidian sources such as women’s beauty and fashion magazines into poetic form and engaging with the Fourth Wave of Feminism and the material conditions of women. As such, it contains a creative element, which is a collection of poetry entitled Woman, Tagged. The creative element is accompanied by a reflective critical commentary examining the methodology and creative process of writing Woman, Tagged, research and observations into corporeal imagery as it is presented in women’s poetry and the waves of feminism with emphasis on the Fourth Wave and materialist feminism. Moreover, as the poetry collection is the original contribution to knowledge, the critical aspect exists not to critique the Fourth Wave, but to contextualise Woman, Tagged as a poetic response to the Fourth Wave. This thesis deploys a methodology of close reading and critical engagement with women’s poetry, women’s magazines, and the online strategies and campaigns of the Fourth Wave of feminism.
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Mohammed, Salifu Dauda. "THE IMPACT OF RECRUITMENT SOURCES ON BRAND IMAGE PERCEPTIONS AND ORGANIZATIONAL ATTRACTION: LEVERAGING ORGANIZATIONAL BRAND IMAGE PERCEPTIONS TO ENHANCE RECRUITMENT ATTRACTION." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/567577.
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Business Administration/Human Resource ManagementD.B.A.
In today’s competitive labor markets, successfully recruiting a large pool of skilled and qualified job applicants is a prime concern of many organizations. In Study 1, I focused on how organizations can successfully employ four traditional recruitment practices (sponsorships, job fair activities, word-of mouth endorsements and corporate advertisements) simultaneously to disseminate information about their positive recruitment brand images to job seekers to enhance organizational attraction. The results which supported all my hypotheses indicated that, communication of an organization’s brand images to job seekers through the simultaneous use of these four traditional recruitment practices can indeed influence job seekers’ positive perceptions of an organization and result in enhanced organizational attraction. In Study 2, which was built on findings in Study1, I theorized that social media may have become a prominent source of information for job seekers. In this study, I predicted that job seekers’ use of four social media platforms (Facebook, Twitter, You Tube and LinkedIn) in job search will explain incremental variance in organizational attraction over the use of traditional recruitment methods. I also predicted that job seekers’ utilization of social media in job search will be positively related to organizational attraction through enhanced perceptions of instrumental and symbolic attributes. Surveys for both studies were posted on and data collected from Amazon Mechanical Turk. Results from the second study were mixed; but the results confirm findings from prior research, which showed that the instrumental-symbolic framework can be used to predict potential job seekers’ perceptions of organizational attractiveness. Overall, results in the two studies reveal that organizations can better enhance recruitment by using a combination of social media and traditional recruitment methods to attract potential job seekers.
Temple University--Theses
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Hogeland, Julie H. "Body image of individuals with ostomy : an integrative literature review." Honors in the Major Thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1422.
Full textAbstract:
This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.Bachelors
Nursing
Nursing
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He, Yi. "An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5016.
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Highway assets, including traffic signs, traffic signals, light poles, and guardrails, are important components of transportation networks. They guide, warn and protect drivers, and regulate traffic. To manage and maintain the regular operation of the highway system, state departments of transportation (DOTs) need reliable and up-to-date information about the location and condition of highway assets. Different methodologies have been employed to collect road inventory data.
Currently, ground-based technologies are widely used to help DOTs to continually update their road database, while air-based methods are not commonly used. One possible reason is that the initial investment for air-based methods is relatively high; another is the lack of a systematic and effective approach to extract road features from raw airborne light detection and ranging (LiDAR) data and aerial image data. However, for large-area inventories (e.g., a whole state highway inventory), the total cost of using aerial mapping is actually much lower than other methods considering the time and personnel needed. Moreover, unmanned aerial vehicles (UAVs) are easily accessible and inexpensive, which makes it possible to reduce costs for aerial mapping. The focus of this project is to analyze the capability and strengths of airborne data collection system in highway inventory data collection.
In this research, a field experiment was conducted by the Remote Sensing Service Laboratory (RSSL), Utah State University (USU), to collect airborne data. Two kinds of methodologies were proposed for data processing, namely ArcGIS-based algorithm for airborne LiDAR data, and MATLAB-based procedure for aerial photography. The results proved the feasibility and high efficiency of airborne data collection method for updating highway inventory database.
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Esmaeili, Pourfarhangi Kamyar. "Movie10: Computational image segmentation and tracking performed by LEVER." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/584746.
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Bioengineering;Ph.D.;
Metastasis is the leading cause of death among cancer patients. The metastatic cascade, during which cancer cells from the primary tumor reach a distant organ and form multiple secondary tumors, consists of a series of events starting with cancer cells invasion through the surrounding tissue of the primary tumor. Invading cells may perform proteolytic degradation of the surrounding extracellular matrix (ECM) and directed migration in order to disseminate through the tissue. Both of the mentioned processes are profoundly affected by several parameters originating from the tumor microenvironment (extrinsic) and tumor cells themselves (intrinsic). However, due to the complexity of the invasion process and heterogeneity of the tumor tissue, the exact effect of many of these parameters are yet to be elucidated. ECM proteolysis is widely performed by cancer cells to facilitate the invasion process through the dense and highly cross-linked tumor tissue. It has been shown in vivo that the proteolytic activity of the cancer cells correlates with the cross-linking level of their surrounding ECM. Therefore, the first part of this thesis seeks to understand how ECM cross-linking regulates cancer cells proteolytic activity. This chapter first quantitatively characterizes the correlation between ECM cross-linking and the dynamics of cancer cells proteolytic activity and then identifies ß1-integrin subunit as a master regulator of this process. Once cancer cells degrade their immediate ECM, they directionally migrate through it. Bundles of aligned collagen fibers and gradients of soluble growth factors are two well-known cues of directed migration that are abundantly present in tumor tissues stimulating contact guidance and chemotaxis, respectively. While such cues direct the cells towards a specific direction, they are also known to stimulate cell cycle progression. Moreover, due to the complexity of the tumor tissue, cells may be exposed to both cues simultaneously, and this co-stimulation may happen in the same or different directions. Hence, in the next two chapters of this thesis, the effect of cell cycle progression and contact guidance-chemotaxis dual-cue environments on directional migration of invading cells are assessed. First, we show that cell cycle progression affects contact guidance and not random motility of the cells. Next, we show how exposure of cancer cells to contact guidance-chemotaxis dual-cue environments can improve distinctive aspects of cancer invasion depending on the spatial conformation of the two cues. In this dissertation, we strive to achieve the defined milestones by developing novel mathematical and experimental models of cancer invasion as well as utilizing fluorescent time-lapse microscopy and automated image and signal processing techniques. The results of this study improve our knowledge about the role of the studied extrinsic and intrinsic cues in cancer invasion.
Temple University--Theses
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Pongratananukul, Nattorn. "Texture Segmentation Using Fractal Features." Honors in the Major Thesis, University of Central Florida, 2000. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/677.
Full textAbstract:
This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucfBachelors
Engineering
Electrical Engineering
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O'Connor, Maureen J. Patillo Paul J. "Reengineering human performance and fatigue research through use of physiological monitoring devices, web-based and mobile device data collection methods, and integrated data storage techniques /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FO'Connor.pdf.
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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, December 2003.Thesis advisor(s): Nita L. Miller, Thomas J. Housel. Includes bibliographical references (p. 115-117). Also available online.
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Liu, Danzhou. "EFFICIENT TECHNIQUES FOR RELEVANCE FEEDBACK PROCESSING IN CONTENT-BASED IMAGE RETRIEVAL." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2991.
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In content-based image retrieval (CBIR) systems, there are two general types of search: target search and category search. Unlike queries in traditional database systems, users in most cases cannot specify an ideal query to retrieve the desired results for either target search or category search in multimedia database systems, and have to rely on iterative feedback to refine their query. Efficient evaluation of such iterative queries can be a challenge, especially when the multimedia database contains a large number of entries, and the search needs many iterations, and when the underlying distance measure is computationally expensive. The overall processing costs, including CPU and disk I/O, are further emphasized if there are numerous concurrent accesses. To address these limitations involved in relevance feedback processing, we propose a generic framework, including a query model, index structures, and query optimization techniques. Specifically, this thesis has five main contributions as follows. The first contribution is an efficient target search technique. We propose four target search methods: naive random scan (NRS), local neighboring movement (LNM), neighboring divide-and-conquer (NDC), and global divide-and-conquer (GDC) methods. All these methods are built around a common strategy: they do not retrieve checked images (i.e., shrink the search space). Furthermore, NDC and GDC exploit Voronoi diagrams to aggressively prune the search space and move towards target images. We theoretically and experimentally prove that the convergence speeds of GDC and NDC are much faster than those of NRS and recent methods. The second contribution is a method to reduce the number of expensive distance computation when answering k-NN queries with non-metric distance measures. We propose an efficient distance mapping function that transfers non-metric measures into metric, and still preserves the original distance orderings. Then existing metric index structures (e.g., M-tree) can be used to reduce the computational cost by exploiting the triangular inequality property. The third contribution is an incremental query processing technique for Support Vector Machines (SVMs). SVMs have been widely used in multimedia retrieval to learn a concept in order to find the best matches. SVMs, however, suffer from the scalability problem associated with larger database sizes. To address this limitation, we propose an efficient query evaluation technique by employing incremental update. The proposed technique also takes advantage of a tuned index structure to efficiently prune irrelevant data. As a result, only a small portion of the data set needs to be accessed for query processing. This index structure also provides an inexpensive means to process the set of candidates to evaluate the final query result. This technique can work with different kernel functions and kernel parameters. The fourth contribution is a method to avoid local optimum traps. Existing CBIR systems, designed around query refinement based on relevance feedback, suffer from local optimum traps that may severely impair the overall retrieval performance. We therefore propose a simulated annealing-based approach to address this important issue. When a stuck-at-a-local-optimum occurs, we employ a neighborhood search technique (i.e., simulated annealing) to continue the search for additional matching images, thus escaping from the local optimum. We also propose an index structure to speed up such neighborhood search. Finally, the fifth contribution is a generic framework to support concurrent accesses. We develop new storage and query processing techniques to exploit sequential access and leverage inter-query concurrency to share computation. Our experimental results, based on the Corel dataset, indicate that the proposed optimization can significantly reduce average response time while achieving better precision and recall, and is scalable to support a large user community. This latter performance characteristic is largely neglected in existing systems making them less suitable for large-scale deployment. With the growing interest in Internet-scale image search applications, our framework offers an effective solution to the scalability problem.Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science PhD
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Yu, Ning. "Techniques for boosting the performance in content-based image retrieval systems." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4726.
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Content-Based Image Retrieval has been an active research area for decades. In a CBIR system, one or more images are used as query to search for similar images. The similarity is measured on the low level features, such as color, shape, edge, texture. First, each image is processed and visual features are extracted. Therefore each image becomes a point in the feature space. Then, if two images are close to each other in the feature space, they are considered similar. That is, the k nearest neighbors are considered the most similar images to the query image. In this K-Nearest Neighbor (k-NN) model, semantically similar images are assumed to be clustered together in a single neighborhood in the high-dimensional feature space. Unfortunately semantically similar images with different appearances are often clustered into distinct neighborhoods, which might scatter in the feature space. Hence, confinement of the search results to a single neighborhood is the latent reason of the low recall rate of typical nearest neighbor techniques. In this dissertation, a new image retrieval technique - the Query Decomposition (QD) model is introduced. QD facilitates retrieval of semantically similar images from multiple neighborhoods in the feature space and hence bridges the semantic gap between the images' low-level feature and the high-level semantic meaning. In the QD model, a query may be decomposed into multiple subqueries based on the user's relevance feedback to cover multiple image clusters which contain semantically similar images. The retrieval results are the k most similar images from multiple discontinuous relevant clusters. To apply the benefit from QD study, a mobile client-side relevance feedback study was conducted. With the proliferation of handheld devices, the demand of multimedia information retrieval on mobile devices has attracted more attention. A relevance feedback information retrieval process usually includes several rounds of query refinement. Each round incurs exchange of tens of images between the mobile device and the server. With limited wireless bandwidth, this process can incur substantial delay making the system unfriendly to use. The Relevance Feedback Support (RFS) structure that was designed in QD technique was adopted for Client-side Relevance Feedback (CRF). Since relevance feedback is done on client side, system response is instantaneous significantly enhancing system usability. Furthermore, since the server is not involved in relevance feedback processing, it is able to support thousands more users simultaneously. As the QD technique improves on the accuracy of CBIR systems, another study, which is called In-Memory relevance feedback is studied in this dissertation. In the study, we improved the efficiency of the CBIR systems. Current methods rely on searching the database, stored on disks, in each round of relevance feedback. This strategy incurs long delay making relevance feedback less friendly to the user, especially for very large databases. Thus, scalability is a limitation of existing solutions. The proposed in-memory relevance feedback technique substantially reduce the delay associated with feedback processing, and therefore improve system usability. A data-independent dimensionality-reduction technique is used to compress the metadata to build a small in-memory database to support relevance feedback operations with minimal disk accesses. The performance of this approach is compared with conventional relevance feedback techniques in terms of computation efficiency and retrieval accuracy. The results indicate that the new technique substantially reduces response time for user feedback while maintaining the quality of the retrieval. In the previous studies, the QD technique relies on a pre-defined Relevance Support Support structure. As the result and user experience indicated that the structure might confine the search range and affect the result. In this dissertation, a novel Multiple Direction Search framework for semi-automatic annotation propagation is studied. In this system, the user interacts with the system to provide example images and the corresponding annotations during the annotation propagation process. In each iteration, the example images are dynamically clustered and the corresponding annotations are propagated separately to each cluster: images in the local neighborhood are annotated. Furthermore, some of those images are returned to the user for further annotation. As the user marks more images, the annotation process goes into multiple directions in the feature space. The query movements can be treated as multiple path navigation. Each path could be further split based on the user's input. In this manner, the system provides accurate annotation assistance to the user - images with the same semantic meaning but different visual characteristics can be handled effectively. From comprehensive experiments on Corel and U. of Washington image databases, the proposed technique shows accuracy and efficiency on annotating image databases.ID: 030646264; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 81-91).
Ph.D.
Doctorate
Computer Science
Engineering and Computer Science
Computer Science
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Nuss, Patricia Lois. "The individual behind the image female idols in their various forms." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4997.
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The research investigated the artistic and photographic processes corresponding with two studies motivated by the artist's personal history and focused on the role, affect, and history of various female idols represented in art, religion, and modern American popular media. The first part of the study documented female models as they were simultaneously asked by the artist to think of a range of personal but nonspecific moments from her life, the women were asked not to share their thoughts, only the moment spent thinking, with the artist. The second part of the study documented aspiring models as they awoke during sunrise in the nightwear they slept in. This study incorporated landscapes near the models home. A similar notion is exemplified between the two studies as the models are asked to procure an intimacy with the photographer and in consequence with the viewer. The written part of the study gathered information regarding the female idols presence in a variety of cultures and eras, which transitioned to question the female idols current role in western culture. Findings showed that all idols stress an approved appearance, behavior and morality; furthermore research shows that the modern female idol stresses an importance on appearance more than any other factor. The research continued by breaking down the importance of a viewer-subject relationship in iconography and other artworks. A focus was made on what factors might create this viewer-subject relationship, and furthermore what do the subtleties of the subject tell the viewer. Reference of the artist's memories of an inconsistent female role model in her own life combined with the idols that were constantly solicited by the media resulted in this investigation. A positive relationship was found between the photographic process and the study of models in personal moments.ID: 029809280; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.F.A.)--University of Central Florida, 2011.; Includes bibliographical references (p. 37-39).
M.F.A.
Masters
Visual Art and Design
Arts and Humanities
Studio Art and the Computer
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Choi, Narak. "Image degradation due to surface scattering in the presence of aberrations." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5165.
Full textAbstract:
This dissertation focuses on the scattering phenomena by well-polished optical mirror surfaces. Specifically, predicting image degradation by surface scatter from rough mirror surfaces for a two-mirror telescope operating at extremely short wavelengths (9nm~30nm) is performed. To evaluate image quality, surface scatter is predicted from the surface metrology data and the point spread function in the presence of both surface scatter and aberrations is calculated. For predicting the scattering intensity distribution, both numerical and analytic methods are considered. Among the numerous analytic methods, the small perturbation method (classical Rayleigh-Rice surface scatter theory), the Kirchhoff approximation method (classical Beckman-Kirchhoff surface scatter theory), and the generalized Harvey-Shack surface scatter theory are adopted. As a numerical method, the integral equation method (method of moments) known as a rigorous solution is discussed. Since the numerical method is computationally too intensive to obtain the scattering prediction directly for the two mirror telescope, it is used for validating the three analytic approximate methods in special cases. In our numerical comparison work, among the three approximate methods, the generalized Harvey-Shack model shows excellent agreement to the rigorous solution and it is used to predict surface scattering from the mirror surfaces. Regarding image degradation due to surface scatter in the presence of aberrations, it is shown that the composite point spread function is obtained in explicit form in terms of convolutions of the geometrical point spread function and scaled bidirectional scattering distribution functions of the individual surfaces of the imaging system. The approximations and assumptions in this formulation are discussed. The result is compared to the irradiance distribution obtained using commercial non-sequential ray tracing software for the case of a two-mirror telescope operating at the extreme ultra-violet wavelengths and the two results are virtually identical. Finally, the image degradation due to the surface scatter from the mirror surfaces and the aberration of the telescope is evaluated in terms of the fractional ensquared energy (for different wavelengths and field angles) which is commonly used as an image quality requirement on many NASA astronomy programs.ID: 031001439; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Title from PDF title page (viewed June 26, 2013).; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references (p. 223-231).
Ph.D.
Doctorate
Optics and Photonics
Optics and Photonics
Optics
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Lane, John Eugene. "Numerical, image, and signal processing algorithms applied to radar rainfall estimation." Doctoral diss., University of Central Florida, 1998. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/1164.
Full textAbstract:
University of Central Florida College of Engineering ThesisThe main focus of this dissertation research has been to develop and analyze methods of rain gauge and radar correlation for the purpose of optimizing rainfall estimates.
Ph.D.
Doctorate;
Department of Electrical and Computer Engineering
Engineering
Electrical and Computer Engineering
160 p.
x, 160 leaves, bound : ill., (some col.) ; 28 cm.