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Thematische Bibliographien / Optical pattern recognition / Dissertationen

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Dissertationen zum Thema „Optical pattern recognition“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 29. Juli 2024

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1

An, Kyung Hee. „Concurrent Pattern Recognition and Optical Character Recognition“. Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc332598/.

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The problem of interest as indicated is to develop a general purpose technique that is a combination of the structural approach, and an extension of the Finite Inductive Sequence (FI) technique. FI technology is pre-algebra, and deals with patterns for which an alphabet can be formulated.

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2

Manivannan, Nadarajah. „Multiplexed matched filters for optical pattern recognition“. Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363782.

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3

Mankoff, Jennifer C. „An architecture and interaction techniques for handling ambiguity in recognition-based input“. Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/8214.

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4

Wong, Vincent. „Human face recognition /“. Online version of thesis, 1994. http://hdl.handle.net/1850/11882.

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5

Lam, Yat-kin, und 林日堅. „Intelligent lexical access based on Chinese/English text queries“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B30445474.

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6

Calvo-Zaragoza, Jorge. „Pattern Recognition for Music Notation“. Doctoral thesis, Universidad de Alicante, 2016. http://hdl.handle.net/10045/63415.

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7

Fujinaga, Ichiro. „Optical music recognition using projections“. Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61870.

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8

Biles, Jonathan R. „Optical analysis of microscope images /“. Full text open access at:, 1986. http://content.ohsu.edu/u?/etd,120.

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9

Qi, Ying. „Novel Optical Technique for Real-Time Pattern/Image Recognition“. Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/36446.

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We propose a novel real-time joint-Transform correlation (JTC) technique for optical pattern recognition. To replace the film recording aspect of performing optical correlation, conventional real-time joint-Transform correlation (JTC) optical systems make use of a spatial light modulator (SLM) located in the Fourier plane to record the interference intensity to achieve real-time processing. However, the use of a SLM in the Fourier plane, is a major drawback in these systems since SLMs are limited in resolution, phase uniformity and contrast ratio. Thus, they are not desirable for robust applications. In this thesis, we developed a hybrid (optical/electronic) processing technique to achieve real-time joint-Transform correlation (JTC). The technique employs acousto-optic heterodyning scanning. The proposed real-time JTC system does not require a SLM in the Fourier plane as in conventional real-time JTC systems. This departure from the conventional scheme is extremely important, as the proposed approach does not depend on SLM issues. We have developed the theory of the technique and substantiated it with optical experimental as well as computer simulation results.
Master of Science

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10

Nadar, Mariappan Srirangam 1965. „Hybrid phase-only matched filter for optical pattern recognition“. Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278105.

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Optical matched filters have been used for the recognition of patterns in a noisy background. Different types of matched filters have been proposed since the introduction of the VanderLugt matched spatial filter. A novel filter, the hybrid phase-only matched filter, is proposed which shows promise for better signal to noise ratio, correlation peak intensity and light efficiency compared to the recently proposed optimal phase-only filter. A neural technique for the design of space-domain binary filter for pattern recognition applications is developed. The method takes advantage of the similarity in the structure of the minimum squared error criterion for the construction of linear discriminant functions and the Lyapunov function of the Hopfield Neural Model.

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11

Karbaschi, Arash. „Dynamic pattern recognition and data storage using localized holographic recording“. Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24753.

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Thesis (Ph.D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Adibi, Ali; Committee Member: Altunbasak, Yucel; Committee Member: Callen Jr, William R; Committee Member: Gaylord, Thomas K; Committee Member: McLaughlin, Steven W; Committee Member: Trebino, Rick.

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12

Kim, Intaek. „A Hybrid analytical/intelligent methodology for sensor fusion“. Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/13743.

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13

Reed, Stuart. „Cascaded linear shift invariant processing in pattern recognition“. Thesis, Loughborough University, 2000. https://dspace.lboro.ac.uk/2134/7481.

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Image recognition is the process of classifying a pattern in an image into one of a number of stored classes. It is used in such diverse applications as medical screening, quality control in manufacture and military target recognition. An image recognition system is called shift invariant if a shift of the pattern in the input image produces a proportional shift in the output, meaning that both the class and location of the object in the image are identified. The work presented in this thesis considers a cascade of linear shift invariant optical processors, or correlators, separated by fields of point non-lineari ties, called the cascaded correlator. This is introduced as a method of providing parallel, shiftinvariant, non-linear pattern recognition in a system that can learn in the manner of neural networks. It is shown that if a neural network is constrained to give overall shift invariance, the resulting structure is a cascade of correlators, meaning that the cascaded correlator is the only architecture which will provide fully shift invariant pattern recognition. The issues of training of such a non-linear system are discussed in neural network terms, and the non-linear decisions of the system are investigated. By considering digital simulations of a two-stage system, it is shown that the cascaded correlator is superior to linear filtering for both discrimination and tolerance to image distortion. This is shown for theoretical images and in real-world applications based on fault identification in can manufacture. The cascaded correlator has also been proven as an optical system by implementation in a joint transform correlator architecture. By comparing simulated and optical results, the resulting practical errors are analysed and compensated. It is shown that the optical implementation produces results similar to those of the simulated system, meaning that it is possible to provide a highly non-linear decision using robust parallel optical processing techniques.

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14

Seni, Giovanni. „Large vocabulary recognition of on-line handwritten cursive words“. Buffalo, N.Y. : Dept. of Computer Science, State University of New York at Buffalo, 1995. http://www.cse.buffalo.edu/tech%2Dreports/95%2D38.ps.Z.

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15

Hanson, Adam. „Character recognition of optically blurred textual images using moment invariants /“. Online version of thesis, 1993. http://hdl.handle.net/1850/11748.

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16

Kaura, Mary A. „Optical pattern recognition using a phase-with-constrained-magnitude filter“. Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/15837.

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17

Tan, Juan Boon. „Image enhancement in scanning optical microscopy“. Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306886.

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18

Carroll, Johnny Glen 1953. „Practical Cursive Script Recognition“. Thesis, University of North Texas, 1995. https://digital.library.unt.edu/ark:/67531/metadc277710/.

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This research focused on the off-line cursive script recognition application. The problem is very large and difficult and there is much room for improvement in every aspect of the problem. Many different aspects of this problem were explored in pursuit of solutions to create a more practical and usable off-line cursive script recognizer than is currently available.

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19

Hong, Tao. „Object recognition with features from complex wavelets“. Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610239.

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20

Bult, Timothy Paul. „Schema labelling applied to hand-printed Chinese character recognition“. Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26175.

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Hand-printed Chinese character recognition presents an interesting problem for Artificial Intelligence research. Input data in the form of arrays of pixel values cannot be directly mapped to unique character identifications because of the complexity of the characters. Thus, intermediate data structures are necessary, which in turn lead to a need to represent knowledge of the characters' composition. Building the intermediate constructs for these hand-printed characters necessarily involves choices among ambiguities, the set of which is so large that an efficient search algorithm becomes central to the recognition process. Schema labelling is a theory of how knowledge should be organized for recognition tasks in which composition structure is inherent in the domain, the composition entails ambiguity, and the ambiguity generates large search spaces. This thesis describes an implementation of an enhanced version of schema labelling for Chinese characters. The specific problems addressed by the enhancements, with some success, are (i) the segmentation of real images into objects usable by the schema system, (ii) the definition of schemas which adequately describe the generic composition of hand-printed Chinese characters, as well as common variations or vagaries, and (iii) the inclusion of sufficient "control knowledge" to prevent combinatorial explosion of the backtracking recognition process. Test characters for recognition systems can be classified along several dimensions. On the spectrum from type-set, through hand-printed, to hand-written forms, our system was tested on restricted hand-print, at a level somewhat more difficult than is normally attempted. On the spectrum of input types, from grey-scale pixel input through on-line stroke representations, our system was fully tested only at the high end, with complete synthetic strokes. We obtained a success rate of 57%, 12 out of the 21 characters tested. The principal success of the work is that characters of the complexity tested could be recognized at all, and in the impact schema labelling techniques had on that recognition.
Science, Faculty of
Computer Science, Department of
Graduate

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21

Tan, Sovira. „A pattern recognition Wiener filter for realistic clutter backgrounds“. Thesis, University of Sussex, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390826.

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22

Pham, Quoc Henry. „Hierarchical processing algorithms for object recognition“. Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13562.

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23

Seeger, Mauritius. „3-D imaging using optical coherence radar“. Thesis, University of Kent, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263698.

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24

Wang, Yuanxun. „Radar signature prediction and feature extraction using advanced signal processing techniques /“. Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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25

George, Martin Selby. „Multi-resolution motion analysis using optical flow techniques“. Thesis, University of Warwick, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365231.

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26

Grant, Jeremy. „Wavelet-Based Segmentation of Fluorescence Microscopy Images in Two and Three Dimensions“. Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/GrantJ2008.pdf.

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27

Sun, Shijun. „Video object segmentation and tracking using VSnakes /“. Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/6038.

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28

Jiang, Yugang. „Large scale semantic concept detection, fusion, and selection for domain adaptive video search /“. access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-cs-b23749957f.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.
"Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 145-161)

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29

Wei, Xiaoyong. „Concept-based video search by semantic and context reasoning /“. access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-cs-b23750509f.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.
"Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 122-133)

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30

Davis, Richard I. A. „Training Hidden Markov Models for spatio-temporal pattern recognition /“. [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18500.pdf.

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31

Watkins, L. R. „Optical fibre communications : signal processing to accommodate system impairments“. Thesis, Bangor University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279143.

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32

Khendek, Hamid. „Computer optical-vision system for glass measurement and inspection“. Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283378.

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33

Shang, Lin. „Optimisation of filters for optical correlation of noisy images“. Thesis, University of Glasgow, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343923.

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34

Kim, Jijoong. „Automatic aircraft recognition and identification“. Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060808.161115/index.html.

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35

Redfield, Signe Anne. „Efficient object recognition using color quantization“. [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000347.

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Thesis (Ph. D.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains xiv, 150 p.; also contains graphics. Includes vita. Includes bibliographical references.

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36

Montes, Usategui Mario. „Multichannel optical correlators: analysis, evaluation, and development of procedures for pattern recognition“. Doctoral thesis, Universitat de Barcelona, 1995. http://hdl.handle.net/10803/667642.

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Los objetivos del trabajo son, en primer lugar, analizar las limitaciones que presenta la correlación monocanal para tratar con problemas complejos de reconocimiento de imágenes. Con este propósito se ha adaptado el formalismo de las regiones de decisión al caso particular de la correlación optica. El análisis muestra asimismo la forma de resolver los problemas encontrados, mediante la utilización de sistemas que realicen múltiples correlaciones (correladores multicanal). Se han desarrollado procedimientos para sacar provecho de la potencia de estos sistemas y se ha mostrado la superioridad frente a los sistemas de correlación unica. Se han estudiado los problemas encontrados en la construcción práctica de estos dispositivos y se han propuesto soluciones a algunos de ellos. Finalmente, se explora la posibilidad de realizar las multiples correlaciones necesarias mediante una arquitectura de correlación iterativa.

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37

Travis, Clive Hathaway. „The inverse problem and applications to optical and eddy current imaging“. Thesis, University of Surrey, 1989. http://epubs.surrey.ac.uk/804869/.

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38

Matalgah, Mustafa M. „Geometric theory for designing optical binary amplitude and binary phase-only filters /“. free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9717158.

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39

Chen, Jingni. „Correlated topic random field for simultaneous object recognition and segmentation /“. View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20CHENJN.

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40

Jacobs, Emmerentia. „Deterministic tracking using active contours“. Thesis, Link to the online version, 2005. http://hdl.handle.net/10019/1055.

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41

Pistacchio, Michael. „The application of neural networks to character recognition based on primitive feature detection /“. Online version of thesis, 1989. http://hdl.handle.net/1850/10550.

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42

Cha, Sung-Hyuk. „Use of distance measures in handwriting analysis“. Buffalo, N.Y. : Dept. of Computer Science, State University of New York at Buffalo, 2001. http://www.cse.buffalo.edu/tech%2Dreports/2001%2D05.ps.

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43

Sharma, Karan. „The Link Between Image Segmentation and Image Recognition“. PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/199.

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A long standing debate in computer vision community concerns the link between segmentation and recognition. The question I am trying to answer here is, Does image segmentation as a preprocessing step help image recognition? In spite of a plethora of the literature to the contrary, some authors have suggested that recognition driven by high quality segmentation is the most promising approach in image recognition because the recognition system will see only the relevant features on the object and not see redundant features outside the object (Malisiewicz and Efros 2007; Rabinovich, Vedaldi, and Belongie 2007). This thesis explores the following question: If segmentation precedes recognition, and segments are directly fed to the recognition engine, will it help the recognition machinery? Another question I am trying to address in this thesis is of scalability of recognition systems. Any computer vision system, concept or an algorithm, without exception, if it is to stand the test of time, will have to address the issue of scalability.

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44

Tivive, Fok Hing Chi. „A new class of convolutional neural networks based on shunting inhibition with applications to visual pattern recognition“. Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20061025.164437/index.html.

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45

Pan, Wendy. „A simulated shape recognition system using feature extraction /“. Online version of thesis, 1989. http://hdl.handle.net/1850/10496.

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46

Davison, Christopher. „Development of a parallel access optical disk system for high speed pattern recognition“. Thesis, Loughborough University, 1997. https://dspace.lboro.ac.uk/2134/14365.

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Pattern recognition is a rapidly expanding area of research, with applications ranging from character recognition and component inspection to robotic guidance and military reconnaissance. The basic principle of image recognition is that of comparing the unknown image with many known reference images or 'filters', until a match is found. By comparing the unknown image with a large data bank of filters, the diversity of the application can be extended. The work presented in this thesis details the practical development of an optical disk based memory system as applied in various optical correlators for pattern recognition purposes. The characteristics of the holographic optical disk as a storage medium are investigated in terms of information capacity and signal to noise ratio, where a fully automated opto-mechanical system has been developed for the control of the optical disk and the processing of the information recorded. A liquid crystal television has been used as a Spatial Light Modulator for inputting the image data, and as such, the device characteristics have been considered with regard to processing both amplitude and phase information. Three main configurations of optical correlator have been applied, specifically an image plane correlator, a VanderLugt correlator, and an Anamorphic correlator. Character recognition has been used to demonstrate correlator performance, where simple matched filtering has been applied, subsequent to which, an improvement in class discrimination has been demonstrated with the application of the Minimum Average Correlation Energy filter. The information processing rate obtained as a result of applying 2D parallel processing has been shown to be many orders of magnitude larger than that available with comparable serial based digital systems.

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47

Woo, Myung Chul. „Biologically-inspired translation, scale, and rotation invariant object recognition models /“. Online version of thesis, 2007. http://hdl.handle.net/1850/3933.

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48

Lau, Kin-keung. „Preprocessing and postprocessing techniques for improving the performance of a Chinese character recognition system /“. [Hong Kong : University of Hong Kong], 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13154345.

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49

Liu, Nianjun. „Hand gesture recognition by Hidden Markov Models /“. [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18158.pdf.

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50

Clark, Daniel S. „Object detection and tracking using a parts-based approach /“. Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1167.

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