Dissertations / Theses on the topic 'Visual analysis'
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Davis, Myers Abraham. "Visual vibration analysis." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107330.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 109-113).
This dissertation shows how regular cameras can be used to record and analyze the vibrations of visible objects. Through careful temporal analysis, we relate subtle changes in video to the vibrations of recorded surfaces, and use that information to reason about the physical properties of objects and the forces that drive their motion. We explore several applications of our approach to extracting vibrations from video - using it to recover sound from distant surfaces, estimate the physical properties of visible objects, and even predict how objects will respond to new, previously unseen forces. Our work impacts a variety of fields, ranging from computer vision, to long-distance structural health monitoring and nondestructive testing, surveillance, and even visual effects for film. By imaging the vibrations of objects, we offer cameras as low-cost vibration sensors with dramatically higher spatial resolution than the devices traditionally used in engineering. In doing so, we turn every camera into a powerful tool for vibration analysis, and provide an exciting new way to image the world.
by Myers Abraham Davis (Abe Davis)
Ph. D.
Shah, Neet. "Visual Field Analysis for Functional Visual Loss." Thesis, The University of Arizona, 2018. http://hdl.handle.net/10150/626887.
Full textLarsson, Petter. "Automatic Visual Behavior Analysis." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1980.
Full textThis work explores the possibilities of robust, noise adaptive and automatic segmentation of driver eye movements into comparable quantities as defined in the ISO 15007 and SAE J2396 standards for in-vehicle visual demand measurements. Driver eye movements have many potential applications, from the detection of driver distraction, drowsiness and mental workload, to the optimization of in-vehicle HMIs. This work focuses on SeeingMachines head and eye-tracking system SleepyHead (or FaceLAB), but is applicable to data from other similar eye-tracking systems. A robust and noise adaptive hybrid algorithm, based on two different change detection protocols and facts about eye-physiology, has been developed. The algorithm has been validated against data, video transcribed according to the ISO/SAE standards. This approach was highly successful, revealing correlations in the region of 0.999 between analysis types i.e. video transcription and the analysis developed in this work. Also, a real-time segmentation algorithm, with a unique initialization fefature, has been developed and validated based on the same approach.
This work enables real-time in-vehicle systems, based on driver eye-movements, to be developed and tested in real driving conditions. Furthermore, it has augmented FaceLAB by providing a tool that can easily be used when analysis of eye movements are of interest e.g. HMI and ergonomics studies, analysis of warnings, driver workload estimation etc.
Machado, Vinícius Fritzen. "Visual soccer match analysis." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/144074.
Full textSoccer is a fascinating sport that captures the attention of millions of people in the world. Professional soccer teams, as well as the broadcasting media, have a deep interest in the analysis of soccer matches. Statistical summaries are the most-used approach to describe a soccer match. However, they often fail to capture the evolution of the game and changes of strategies that happen. In this work, we present the Visual Soccer Match Analysis (VSMA) system, a tool for understanding the different aspects associated with the evolution of a soccer match. Our tool receives as input the coordinates of each player throughout the match and related events. We present a visual design that allows to quickly identify relevant patterns in the match. Our approach was developed in conjunction with colleagues from the physical education field with expertise in soccer analysis. We validated the system utility using several matches together with expert evaluations.
Yang, Di. "Analysis guided visual exploration of multivariate data." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050407-005925/.
Full textMcAulay, Ian Charles. "Visual descriptors : a design tool for visual impact analysis." Thesis, University of Plymouth, 1988. http://hdl.handle.net/10026.1/2401.
Full textArdila, Jimenez Silvia. "Analysis of visual responses in the mouse early visual pathway." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/43376.
Full textMaushagen, Jan. "Visual Analysis of Publication Networks." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-27487.
Full textTresadern, Phil. "Visual analysis of articulated motion." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436970.
Full textTurkmani, Aseel. "Visual analysis of viseme dynamics." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/804944/.
Full textPurdie, Cameron L. "Computer aided visual impact analysis." Thesis, University of Strathclyde, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385519.
Full textPålsson, Nicholas. "Guiding the viewer using visual components : Eye-tracking for visual analysis." Thesis, Luleå tekniska universitet, Institutionen för konst, kommunikation och lärande, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74563.
Full textJancsary, Dennis, Markus Höllerer, and Renate Meyer. "Critical analysis of visual and multimodal texts." SAGE, 2016. http://epub.wu.ac.at/6126/1/Dennis_etal_2016_SAGE%2Dcritical%2Danalysis.pdf.
Full textCosta, Patrícia Folgado Bargado. "Análise visual da paisagem. Caso de Estudo: concelho de Almada." Master's thesis, ISA, 2010. http://hdl.handle.net/10400.5/3111.
Full textThe interest for the subject, “Visual Analysis of the Landscape in the Municipality of Almada”, emerged from the perception that projects don´t generally meet the needs of the populations, but instead they meet the personal preferences of the designer. The aim of this work is to introduce public opinion as a tool in the design process. Although the general public doesn´t possess the technical knowledge, making the intervention of the designer essential, they do possess the practical knowledge of the dynamics, needs and the most valuable assets of the landscape that surrounds the areas where they live or work. As a case study I chose the Municipality of Almada, from which I took the seven most representative photos and then elaborated an inquiry to its population. In an inquiry, these pictures were to be ordered by preference by the inquired, asking them to make the visual analysis of the municipality and revealing what kind of landscapes they most and least like. It was possible to conclude that although the urban expansion engulfed the natural landscape, involving the population in an insalubrious environment, people still prefer landscapes with natural elements, like water or vegetation. Landscapes with cultural heritage are also of great importance, for they represent the identity of the population or of the nation itself.
Ferm, Andreas. "Visual attention analysis using eyetracker data." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95333.
Full textMannan, Sabira Khanam. "The visual analysis of complex scenes." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321654.
Full textWilson, Andrew David. "Learning visual behavior for gesture analysis." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/62924.
Full textChung, HaeYong. "Designing Display Ecologies for Visual Analysis." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52042.
Full textPh. D.
Oikonomopoulos, Antonios. "Spatiotemporal visual analysis of human actions." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5871.
Full textRIZVI, SYED TAHIR HUSSAIN. "Visual Analysis Algorithms for Embedded Systems." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2707423.
Full textPATTI, DENIS. "Visual Analysis Algorithms for Embedded Systems." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2709452.
Full textSantarcangelo, Vito. "Visual Behavior Analysis in Retail Scenario." Doctoral thesis, Università di Catania, 2018. http://hdl.handle.net/10761/4135.
Full textLeite, Roger Almeida. "PhenoVis : a visual analysis tool to phenological phenomena." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/115181.
Full textCerutti, Lisa. "Visual grounded analysis : developing and testing a method for preliminary visual research." Thesis, London Metropolitan University, 2017. http://repository.londonmet.ac.uk/1471/.
Full textChan, Y. M. "Depth perception in visual images." Thesis, University of Brighton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380238.
Full textEconomou, Dorothy. "Photos in the News: appraisal analysis of visual semiosis and verbal-visual intersemiosis." University of Sydney, 2009. http://hdl.handle.net/2123/5740.
Full textThis thesis concerns the intersection of social semiotic theory and critical discourse analysis (CDA), applying systemic-functional (SF) theory to verbal-visual news media texts. The aim of the thesis is to develop social semiotic descriptions of visual meaning in order to facilitate analyses of evaluative stance in visual-verbal text. The texts studied are ‘factual’ daily broadsheet news photos and prominent visual-verbal ‘displays’ that incorporate these photos alongside headlines and captions. Such displays introduce investigative stories on the front page of broadsheet weekly news reviews and are referred to in the thesis as ‘standout’ texts. They are significant because they may also be read as independent texts and play a critical role in positioning a wide readership on the issues investigated in the story. The SF system of verbal appraisal was used in this thesis to develop a corresponding system of visual appraisal. The process involved applying general appraisal options to a corpus of news photos and proceeding to further delicacy in a repeated cycle of analysis and system-building. Once refined in this way the system was applied alongside the verbal appraisal system to account for evaluation in verbal-visual standouts. In the thesis four Australian and four Greek standouts introducing stories on asylum seekers were analysed in order to explore the potential for variation and the impact of context on evaluative meaning choices. The thesis contributes insights into SF theory, media discourse and CDA. The visual systems developed allow appraisal analysis to be extended to images and to verbalvisual texts. Visual appraisal analysis in the thesis provides new evidence for the ideological and evaluative power of news photos. Verbal-visual appraisal analysis shows how each semiotic contributes to evaluative meaning, and to its accumulation and spread across a text. In respect to media discourse, the thesis also provides evidence for the ‘standout’ as an orbital verbal-visual news genre. The comparison of evaluative stance in two sets of standouts demonstrates consistent editorial choices in texts within each context and contrasts across the two sites. The Australian texts display more evaluative complexity, greater emphasis on entertainment and offer two different stances, aligning a diverse target audience. The Greek texts are more straightforward and construct a single stance, aligning a narrower audience. By identifying the semiotic choices involved in the evaluative positioning of readers by visual-verbal texts, the thesis can contribute to more informed and reflective practice. Thus, as well as making theoretical advances, the findings have relevance for journalism and education at a time when the impact of images is changing our conception of literacy.
Parameswaran, Vasudev. "View-invariance in visual human motion analysis." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1408.
Full textThesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Liu, Zhicheng. "Network-based visual analysis of tabular data." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43687.
Full textSedlmair, Michael. "Visual Analysis of In-Car Communication Networks." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-124488.
Full textRehm, Frank. "Visual data analysis in air traffic management /." Köln : DLR, 2007. http://diglib.uni-magdeburg.de/Dissertationen/2007/frarehm.htm.
Full textAl-Sowaidi, Faraj. "Visual analysis of the decay of pears." Virtual Press, 1988. http://liblink.bsu.edu/uhtbin/catkey/724953.
Full textDepartment of Art
Chen, Da. "The visual analysis of complex natural phenomena." Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.760925.
Full textSokolov, Michael Adam. "Visual motion : algorithms for analysis and application." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/70173.
Full textSimoncelli, Eero Peter. "Distributed representation and analysis of visual motion." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12590.
Full textIncludes bibliographical references (leaves 171-179).
by Eero Peter Simoncelli.
Ph.D.
Sullivan, Terry. "The Cluster Hypothesis: A Visual/Statistical Analysis." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2444/.
Full textKarthikeyan, Nithesh Chandher. "Analysis of visual political communication on YouTube." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447660.
Full textBulusu, Prakash. "DIVA-Data warehouse Interface for Visual Analysis." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000655.
Full textEss, Andreas. "Visual urban scene analysis by moving platforms." Konstanz Hartung-Gorre, 2009. http://d-nb.info/998626767/04.
Full textVohra, Neeru Rani. "Three dimensional statistical graphs, visual cues and clustering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ56213.pdf.
Full textJanicke, Susan Beth. "Visual Arts and Chronic Pain: Thematic Analysis to the Artistic Statements of Visual Artists." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1689.
Full textRen, Reede. "Audio-visual football video analysis, from structure detection to attention analysis." Thesis, Connect to e-thesis. Move to record for print version, 2008. http://theses.gla.ac.uk/77/.
Full textPh.D. thesis submitted to the Faculty of Information and Mathematical Sciences, Department of Computing Science, University of Glasgow, 2008. Includes bibliographical references. Print version also available.
Zhou, Hong. "Visual clustering in parallel coordinates and graphs /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20ZHOU.
Full textJain, Varun. "Visual Observation of Human Emotions." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GRENM006/document.
Full textIn this thesis we focus on the development of methods and techniques to infer affect from visual information. We focus on facial expression analysis since the face is one of the least occluded parts of the body and facial expressions are one of the most visible manifestations of affect. We explore the different psychological theories on affect and emotion, different ways to represent and classify emotions and the relationship between facial expressions and underlying emotions. We present the use of multiscale Gaussian derivatives as an image descriptor for head pose estimation, smile detection before using it for affect sensing. Principal Component Analysis is used for dimensionality reduction while Support Vector Machines are used for classification and regression. We are able to employ the same, simple and effective architecture for head pose estimation, smile detection and affect sensing. We also demonstrate that not only do multiscale Gaussian derivatives perform better than the popular Gabor Filters but are also computationally less expensive to compute. While performing these experiments we discovered that multiscale Gaussian derivatives do not provide an appropriately discriminative image description when the face is only partly illuminated. We overcome this problem by combining Gaussian derivatives with Local Binary Pattern (LBP) histograms. This combination helps us achieve state-of-the-art results for smile detection on the benchmark GENKI database which contains images of people in the "wild" collected from the internet. We use the same description method for face recognition on the CMU-PIE database and the challenging extended YaleB database and our results compare well with the state-of-the-art. In the case of face recognition we use metric learning for classification, adopting the Minkowski distance as the similarity measure. We find that L1 and L2 norms are not always the optimum distance metrics and the optimum is often an Lp norm where p is not an integer. Lastly we develop a multi-modal system for depression estimation with audio and video information as input. We use Local Binary Patterns -Three Orthogonal Planes (LBP-TOP) features to capture intra-facial movements in the videos and dense trajectories for macro movements such as the movement of the head and shoulders. These video features along with Low Level Descriptor (LLD) audio features are encoded using Fisher Vectors and finally a Support Vector Machine is used for regression. We discover that the LBP-TOP features encoded with Fisher Vectors alone are enough to outperform the baseline method on the Audio Visual Emotion Challenge (AVEC) 2014 database. We thereby present an effective technique for depression estimation which can be easily extended for other slowly varying aspects of emotions such as mood
Ventura, Royo Carles. "Visual object analysis using regions and local features." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/398407.
Full textLa primera part de la tesi es focalitza en l'anàlisi del context espacial en la segmentació semàntica d'imatges. En primer lloc, revisem com s'ha tractat el context espacial en la literatura per mitjà de descriptors locals i tècniques d'agregació espacial. A partir de la discussió sobre si el context és beneficial o no per al reconeixement d'objectes, extenem una segmentació en objecte, contorn i fons per a l'agregació espacial de descriptors locals amb annotacions a un escenari més realístic on s'utilitzen hipòtesis de localitzacions d'objectes enlloc d'annotacions. Mentres que les regions corresponen a objecte i fons representes aquestes àrees respectives de la imatge, el contorn és una regió al voltant de l'objecte, la qual ha resultat ser la regió més rica amb informació contextual per al reconeixement d'objectes. A més a més, proposem una nova tècnica d'agregació espacial dels descriptors locals de l'interior de l'objecte amb una divisió d'aquesta regió en 4 subregions. Ambdues contribucions han estat verificades en un benchmark de segmentació semàntica amb la combinació de descriptors locals dependents i independents del context que permet que els models automàticament aprenguin si el context és beneficiós o no per a cada categoria semàntica. La segona part de la tesi aborda el problema de segmentació semàntica per a un conjunt d'imatges relacionades en un escenari multi-vista sense calibració. Els algorismes de l'estat de l'art en segmentació semàntica fallen en segmentar correctament els objects dels diferents punts de vista quan les tècniques són aplicades de forma independent a cadascun dels punts de vista. La manca d'un nombre elevat d'annotacions disponibles per a segmentació multi-vista no permet obtenir un model que sigui robust als canvis de vista. En aquesta segona part, explotem la correlació espacial existent entre els diferents punts de vista per obtenir una segmentació semàntica més robusta. En primer lloc, revisem les tècniques de l'estat de l'art en co-agrupament, co-segmentació i segmentació de vídeo que tenen per objectiu segmentar el conjunt d'imatges de forma genèrica, és a dir, sense considerar la semàntica. A continuació, proposem una nova arquitectura de co-agrupament que considera informació de moviment i proveeix una segmentació amb múltiples resolucions i millora les tècniques de l'estat de l'art en segmentació genèrica multi-vista. Finalment, la segmentació multivista proposada és combinada amb els resultats de la segmentació semàntica donant lloc a un mètode per a una selecció automàtica de la resolució i una segmentació semàntica multi-vista coherent.
Hall, Tonya A. "Patient satisfaction : a visual analysis using Trellis Graphics." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA355903.
Full text"September 1998." Thesis advisor(s): Samuel E. Buttrey. Includes bibliographical references (p. 67-68). Also available online.
Van, den Bergh Michael. "Visual body pose analysis for human-computer interaction." Konstanz Hartung-Gorre, 2010. http://d-nb.info/1000839370/04.
Full textKostkevicius, Björn. "Visual Analysis of Author Impacts and Bibliometric Data." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-18632.
Full textHaga, Thorsten. "Visual Analysis of Swedish Research Council's Project Database." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-21681.
Full textIžo, Tomáš 1979. "Visual attention models for far-field scene analysis." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40314.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 141-146).
The amount of information available to an intelligent monitoring system is simply too vast to process in its entirety. One way to address this issue is by developing attentive mechanisms that recognize parts of the input as more interesting than others. We apply this concept to the domain of far-field activity analysis by addressing the problem of determining where to look in a scene in order to capture interesting activity in progress. We pose the problem of attention as an unsupervised learning problem, in which the task is to learn from long-term observation a model of the usual pattern of activity. Such a statistical scene model then makes it possible to detect and attend to examples of unusual activity. We present two data-driven scene modeling approaches. In the first, we model the pattern of individual observations (instances) of moving objects at each scene location as a mixture of Gaussians. In the second approach, we model the pattern of sequences of observations -- tracks -- by grouping them into clusters.We employ a similarity measure that combines comparisons of multiple attributes -- such as size, position, and velocity -- in a principled manner so that only tracks that are spatially similar and have similar attributes at spatially corresponding points are grouped together. We group the tracks using spectral clustering and represent the scene model as a mixture of Gaussians in the spectral embedding space. New examples of activity can be efficiently classified by projection into the embedding space. We demonstrate clustering and unusual activity detection results on a week of activity in the scene (about 40,000 moving object tracks) and show that human perceptual judgments of unusual activity are well-correlated with the statistical model. The human validation suggests that the track-based anomaly detection framework would perform well as a classifier for unusual events. To our knowledge, our work is the first to evaluate a statistical scene modeling and anomaly detection framework against human judgments.
by Tomáš Ižo.
Ph.D.
Kassel, Jan-Frederik [Verfasser]. "On intelligible multimodal visual analysis / Jan-Frederik Kassel." Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2020. http://d-nb.info/1220422258/34.
Full text