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Bouvier, Christian. "Segmentation région-contour des contours des lèvres". Phd thesis, Université Laval, 2010. http://tel.archives-ouvertes.fr/tel-00462022.
Pełny tekst źródłaBouvier, Christian. "Segmentation région-contour des contours des lèvres". Phd thesis, Grenoble INPG, 2010. http://www.theses.fr/2010INPG0009.
Pełny tekst źródłaThis report presents the thesis that has been jointly conducted at the Grenoble Institute of Technology in France and at the Laval University in Canada. The work involves the GIPSA-lab in Grenoble and the CVSL of the Laval University. The aim of the thesis is to propose a set of robust methods to segment the lips outer and inner contours. In terms of robustness, we intend to propose a reliable lips contours segmentation that does not require the tuning of parameters. In the fist chapter a state of the art of mouth analysis is given. In the second chapter of this report, we will introduce our “region-contour” based approach to segment a binary mask of the lips on static face color images. First, we will describe the decorrelation-stretch algorithm we use to enhance the contrast between lips pixels and skin pixels and then a multi-scale gradients approach to contour modeling. The last part of the chapter will focus on the segmentation of a lips binary mask by automatic thresholding of a specific chromatic component. In chapter three we will be interested in the mouth state identification problem. The knowledge of mouth state is critical if one is to propose a robust segmentation of the lips internal contours. A bio-inspired approach based on retina and visual cortex models has been developed to compute a scale invariant mouth description: the log-polar spectrum. Log-polar spectrums, computed on a manually classified mouth images database, are used to train a SVM network. The goal of the network is to classify unknown mouth images in 2 clusters: open mouth and closed mouth. Recently, infrared based approaches have become popular in face analysis, especially for face recognition problems. Infrared thermography is an area of extensive expertise at the CVSL. In order to enhance the robustness of the lips contours segmentation, we studied the potential of the information given by infrared face images. A combined visible/infrared face image database has been constructed for that purpose. Chapter 4 describes the construction of the combined visible/infrared database and the statistical study of the skin/lips contrast on infrared face images. The last chapter deals with the outer and inner lips contours segmentation. The mouth outer contour is processed first. Using the lips binary mask given by the algorithm described in chapter 2, we have developed an adaptive contour model for the external mouth contour. The contour will be described by a polynomial curve. The complexity of the curve will be adapted using color and multi-scale gradients information. For the inner lips contour, we proposed an unsupervised classification method to segment the inner areas of the mouth. This gives us a binary mask of the inner areas of the mouth. Finally, given the mask of the inner areas of the mouth, the contour is extracted by using the same method that has been applied on the outer contour. The last section of chapter 5 will deal with the performance evaluation of our segmentation algorithms. An original approach for contour comparison, based on Fourier descriptors, has been developed for that purpose
Nordberg, Johan. "Contour". Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17074.
Pełny tekst źródłaProgram: Modedesignutbildningen
Wang, Jiankang. "Actively searching contour models for contour extraction". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0014/NQ59691.pdf.
Pełny tekst źródłaAnanta, Soujanya Siddavaram. "Contour Extraction of Drosophila Embryos Using Active Contours in Scale Space". TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1222.
Pełny tekst źródłaWANG, XUN. "ON CONSTRAINED CONTOUR ENERGY MINIMIZATION: A NEW APPROACH TO DEFORMABLE CONTOUR METHODS". University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1106795223.
Pełny tekst źródła劉藹欣 i Oi-yan Elizabeth Lau. "Wrist pulse contour analysis". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B35273525.
Pełny tekst źródłaLau, Oi-yan Elizabeth. "Wrist pulse contour analysis". Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25085463.
Pełny tekst źródłaWang, Xun. "On constrained contour energy minimization". Cincinnati, Ohio : University of Cincinnati, 2004. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1106795223.
Pełny tekst źródłaNelson, Christopher. "Contour encoded compression and transmission /". Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1613.pdf.
Pełny tekst źródłaFerland, Mark B. "Infants' categorization of melodic contour". Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74028.
Pełny tekst źródłaScheuhammer, Joseph Edward. "Contour completion at edge endings". Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/17228.
Pełny tekst źródłaLam, Shu Yan. "Advances in active contour algorithms". HKBU Institutional Repository, 2002. http://repository.hkbu.edu.hk/etd_ra/453.
Pełny tekst źródłaNelson, Christopher B. "Contour Encoded Compression and Transmission". BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1096.
Pełny tekst źródłaProdöhl, Carsten. "On the recognition of objects by contour parts and the early development of biological contour processing". [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=978875621.
Pełny tekst źródłaBreton, Pierre. "Recovering shape from shading and contour". Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28694.
Pełny tekst źródłaThoe, T. B. "Ultrasonic Contour Machining of Ceramic Materials". Thesis, University of Birmingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525493.
Pełny tekst źródłaHughes, Alex. "Shape analysis and pose from contour". Thesis, University of York, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428406.
Pełny tekst źródłaHaida, Maksim, i Максим Володимирович Гайда. "Video surveillance system of target contour". Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50751.
Pełny tekst źródłaComputer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. When recognizing objects, the most informative part of the image is the contour. An object contour is a part of an object that contains a lot of information about the shape of the object and almost does not depend on the color and texture of the image. You can analyze the shape of the object along the contour. In many cases, information about the shape of the object is sufficient to organize automated or automatic systems. In addition, the transition to object recognition by their contours allows to reduce the amount of processed information by several times, as a plus, the contours are invariant to the brightness transformations.The first element of an intelligent video surveillance system is a video sensor. Examples of video sensors are digital or IP cameras. For ease of use, installation and taking into account the cost of the module, I will use a WEB camera without an ultraviolet filter, with a resolution of 1280×720 pixels and a video recording rate of 25 frames per second.
Комп’ютерне бачення – це наука і технологія виготовлення машин, які бачать. Він займається теорією, розробкою та реалізацією алгоритмів, які можуть автоматично обробляти візуальні дані для розпізнавання об’єктів, відстеження та відновлення їх форми та просторового розташування. При розпізнаванні об’єктів найбільш інформативною частиною зображення є контур. Контур об’єкта - це частина об’єкта, що містить багато інформації про форму об’єкта і майже не залежить від кольору та текстури зображення. Ви можете проаналізувати форму предмета по контуру. У багатьох випадках інформації про форму предмета достатньо для організації автоматизованих або автоматичних систем. Крім того, перехід до розпізнавання об’єктів за їх контурами дозволяє зменшити оброблену інформацію в кілька разів, плюс, контури інваріантні до перетворень яскравості. Першим елементом інтелектуальної системи відеоспостереження є відеодатчик. Прикладами відеосенсорів є цифрові або IP-камери. Для зручності використання, встановлення та врахування вартості модуля я буду використовувати веб-камеру без ультрафіолетового фільтра, з роздільною здатністю 1280 × 720 пікселів та швидкістю запису відео 25 кадрів в секунду.
Dowd, Justin Matthew. "Contour and Layers: An Architectural Exploration". Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/33374.
Pełny tekst źródłaMaster of Architecture
Campbell, Andrew S. "Recycled Aggregate & Robotic Contour Crafting". University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554119761226049.
Pełny tekst źródłaWong, Yin Yung. "Enhanced snakes algorithm for contour detection". HKBU Institutional Repository, 1997. http://repository.hkbu.edu.hk/etd_ra/144.
Pełny tekst źródłaTANG, YINGJIE. "ON CLOSE CONTOUR PRESENTATION AND MATCHING PROBLEMS WITH BIOMEDICAL IMAGE APPLICATIONS". University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin983567833.
Pełny tekst źródłaAugust, Jonas. "From contour fragment grouping to shape decomposition". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0006/MQ29580.pdf.
Pełny tekst źródłaKhayat, Paul. "Attention and eye movements during contour grouping". [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2004. http://dare.uva.nl/document/72169.
Pełny tekst źródłaAugust, Jonas. "From contour fragment grouping to shape decomposition". Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=26770.
Pełny tekst źródłaElder, James H. "Contour closure and the perception of shape". Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=56775.
Pełny tekst źródłaJohnson, Gregory. "Residual stress measurements using the contour method". Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489521.
Pełny tekst źródłaLee, Chong U. "Contour motion compensation for image sequence coding". Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14515.
Pełny tekst źródłaIncludes bibliographical references (leaves 124-130).
by Chong Uk Lee.
Ph.D.
Metge, Caroline. "Les produits pour le contour de l'oeil". Toulouse 3, 1994. http://www.theses.fr/1994TOU32028.
Pełny tekst źródłaAnderle, Peter. "Design 3D tiskárny pro technologii Contour Crafting". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400420.
Pełny tekst źródłaChu, I.-Hsine (Jack). "CONTOUR GUIDED DISSEMINATION FOR NETWORKED EMBEDDED SYSTEMS". University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1159522840.
Pełny tekst źródłaDuan, Minlan. "Quality of Service in Contour Guided Dissemination". University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1184805314.
Pełny tekst źródłaMamidisetty, Kranthi Kumar. "Generalizing Contour Guided Dissemination in Mesh Topologies". University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208206994.
Pełny tekst źródłaLampert, Thomas. "Spectrogram track detection : an active contour algorithm". Thesis, University of York, 2010. http://etheses.whiterose.ac.uk/956/.
Pełny tekst źródłaWang, Qi. "Improved biologically-inspired methods for contour detection". Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/improved-biologicallyinspired-methods-for-contour-detection(05765ae2-698b-4a95-983d-6267666528f7).html.
Pełny tekst źródłaWen, Shuangyue. "Automatic Tongue Contour Segmentation using Deep Learning". Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38343.
Pełny tekst źródłaNiedfeldt, John Clyde. "RapidSCAT Slice Spatial Response Function Contour Parameterization". BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6260.
Pełny tekst źródłaPötzsch, Michael. "Object contour statistics extracted from natural image sequences". [S.l.] : [s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=959485570.
Pełny tekst źródłaZhao, Ping. "A Contour-based Separation of VerticallyAttached Traffic Signs". Thesis, Högskolan Dalarna, Datateknik, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:du-3033.
Pełny tekst źródłaWu, Chung-Yao, i 吳仲堯. "Active Contour Model and Continuation Method Based Contour Model". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/dtdh67.
Pełny tekst źródła大同大學
資訊工程學系(所)
102
Feature extraction methods are used in many applications, including object tracking, object segmentation, face detection and medical image analysis. Most feature extraction algorithms are designed for 2D images, not applicable for 3D models. Active contour model[1] is one such example. Bischoff et al. (2005)[2] proposed 3D active contour model on triangle meshes. However, 3D active contour model has several drawbacks. In this study, we develop a new contouring algorithm based on continuation method. Our algorithm improves the shortcomings of original 3D active contour models, and facilitate real-time feature extraction on triangle meshes. Users load a 3D model, and produce different contours with different contour functions. Our algorithm can produce contours in real-time for animation effects, and allows users to edit 3D model with contours.
Su, Ke-Han, i 蘇科翰. "Study on Contour Error Control in Parametric Free-Form Contour Following". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/12448263382156670571.
Pełny tekst źródła國立成功大學
電機工程學系碩博士班
96
Reducing contour error is an important issue in multi-axis contour following tasks. To reduce contour error, this dissertation presents three different motion control schemes. First, to improve contouring accuracy, a Tangential Contouring Controller (TCC) based motion control scheme was developed. The scheme consists of a position loop controller with velocity command feedforward, a TCC, a real time contour error estimator, and a fuzzy logic based feedrate regulator. The feedrate regulator is designed to reduce contour error based on dynamic machining error information, which adaptively adjusts the desired feedrate value. The second scheme focuses on improving the machining accuracy in free-form contour following tasks. This scheme consists of a velocity command feedforward, a modified Cross-Coupled Controller (CCC), and a fuzzy logic based feedrate regulator different from the one employed in the first scheme. The feedrate regulator, which can adaptively adjust the desired feedrate to a proper value, is designed based on the dynamic machining error and curvature information. In addition, the modified CCC extends the conventional CCC to arbitrary types of contour following tasks. Finally, the third scheme, using the CCC concept as a starting point, develops a Position Error Compensator (PEC) approach to reduce contour error. The main advantage of PEC is that it can simultaneously improve tracking and contouring performance by compensating for position errors in advance. To further meet contouring accuracy and efficiency requirements, the integrated motion control scheme equipped with a fuzzy logic based feedrate regulator and PEC is developed. To test the feasibility of the proposed approaches, several parametric free-form contour following experiments were conducted, in which the position commands were generated by a real-time NURBS (Non-Uniform Rational B-Spline) interpolator. Experimental results demonstrate that all of the proposed approaches can significantly reduce contour error for biaxial contour following tasks. Additionally, the results demonstrate that the contouring efficiency and accuracy of the proposed approaches meet machining requirements.
Chiu, Cheng-Li, i 邱正利. "Adaptive Snake Model with Automatic Force Adaptation and Contour Refinement Contour Refinement". Thesis, 2004. http://ndltd.ncl.edu.tw/handle/43409150149162534545.
Pełny tekst źródła國立嘉義大學
資訊工程學系研究所
94
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour model (Snake model) is one of the preferred approaches for image segmentation because of their computational efficiency and simplicity. But, these methods have some problems is hard to overcome. The first problem is the concave boundary which traditional snake is impossible to capture the concave boundary of interested image region. The second problem is the background texture and noisy of image significantly influence the segmentation result. Furthermore, the model’s weight parameters are hard to design, find out the suitable parameters for each different image is a exhausted work. So most applications of snake model are domain-specific, while specifying fixed snake coefficients to an image in problem. In this paper, we propose content-triggered adaptive snake model (CASM) to lead all the parameters of snake model to be automatically adapted to various images in the noisy environment. First, the CASM applies a fast estimation method to find the possible ranges of gradient magnitudes of object boundary. As soon as the gradient magnitude of progressing snaxels falls in those ranges, CASM will adapt the weights within the snake forces of these snaxels according to encountered changes in gray levels and influences of various forces in the resided snake segments. And, it simultaneously renormalizes their external and internal forces. After primary convergence, CASM fires a compensation evolution to rectify the unqualified snaxels far from the object boundary. The unqualified snaxels, which are discovered by block-based texture analysis, can be pushed inward or pulled outward to the object border by so-called directional compensation evolution using an efficient alternative for force directions in revived evolutions. The simulation results demonstrate that CASM can improve the performance of snake very much, and outperform Gradient Vector Flow (GVF) in noisy images.
Yang, Tzuen-Fu, i 楊尊富. "Multidimensional Contour Control Based on Equivalent Contour Error and Iterative Learning Control". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/x3k8e7.
Pełny tekst źródłaPrince, Jon. "Mental representations of contour". 2005. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=370481&T=F.
Pełny tekst źródłaGebert, Mark Allen. "Nonparametric density contour estimation". Thesis, 1998. http://hdl.handle.net/1911/19261.
Pełny tekst źródłaBraga, Daniel Filipe Oliveira. "Contour method : procedure optimization". Master's thesis, 2012. http://hdl.handle.net/10216/63286.
Pełny tekst źródłaBraga, Daniel Filipe Oliveira. "Contour method : procedure optimization". Dissertação, 2012. http://hdl.handle.net/10216/63286.
Pełny tekst źródła-WEN, CHOU,MAIO, i 周妙文. "The contour of emotions". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/tpm5dj.
Pełny tekst źródła東海大學
美術學系
107
By sorting out my creative forms in the past, I analyze the rigorous way of creation. Under the covered inertia thinking and within the whitewashed oppressive creation, it is customary for me to present the works in a perfect form in the creation. The creative expression of beautiful female appearance implies a deliberate construction of beautiful exterior whitewash, but there is a repression of internal and external contradictions and conflicts. In order to re-create the art works of clay material, I narrate my original family life experience which has never been mentioned in my life and creations, and I express the growth of my mentality through the emotions towards my father's alcoholism, violence and depression hidden in my inner heart, transforming the accumulated and derived emotional shadow from the state of my personal past emotions into a concretely specific image concept of the emotional outline as a new form of creative expression. I hope that the long-disturbed emotional obstacles enclosed in the heart can be output in the repeated moulding process. By narrating the emotions, my self will be re-viewed in the clay sculptures, which also give me another possibility and freedom to present in the form of creation. Through re-drawing nourishment from these elements of life experience, I can establish a new stage of self from the true face and consciousness of condensed inner emotions in creation, re-recognize my self and my creation, my surrounding environment, my will, and explore my value of self-existence. Under these thinking contexts, I am more determined and more purely sculptural technique-oriented, and re-understand the physical characteristics and changing mood of the clay materials, combining the creative ideas with the inner emotions of self-consciousness, expressing the emotions directly. It is only a single shape, allowing my emotions sprayed in the creation of sculpture forms, so that the emotions released by them are transformed into concrete shapes, which can be seen more clearly in vision. Facing the shadows of the past bad moods, I find the direction on the road towards the continuation of life freely and indifferently. I release the negative energy stored for a long time so as to stimulate my self to stop being stuck in the bondage and restraint, and to be able to freely follow the stream of my ideas at the moment of creation for returning to the simplicity and purity of life emotions, just as the clay material, returning to the purity of matter itself and no more so much concealment and disguise, experiencing the clay from a new viewpoint, getting more imagination development and freedom while immersed in the creation. Key words: emotion, outline, shape, pottery
Kao, Ping-Wen, i 高秉文. "An Initial Edge Point Selection and Segmental Contour Tracing for Object Contour Extraction". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/87q9d3.
Pełny tekst źródła國立嘉義大學
資訊工程學系研究所
97
Image segmentation is a technique which is used to segment region of interest in the image for further image processing. In general, the accuracy of segmentation result would affect result of further image processing or applications. Contour extraction is one of the most important image segmentation methods. When applying contour extraction to application of industrial inspection or machine vision with low-level processor, we not only consider accuracy but also consider automation and computational complexity. In this study, a contour extraction method is proposed, which consist of two parts. The first part is an automatic initial contour point selection mechanism for finding the initial contour points of contour segmental method for the second part of segmental contour tracing method, where contour pixels is obtain according to gradient value, direction and distance along two initial contour points. Finally, the result of the proposed method is compared with other methods.