Relevant bibliographies by topics / Face and Object Recognition / Dissertations / Theses
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Dissertations / Theses on the topic 'Face and Object Recognition'

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Published: 6 September 2023

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1

Gathers, Ann D. "DEVELOPMENTAL FMRI STUDY: FACE AND OBJECT RECOGNITION." Lexington, Ky. : [University of Kentucky Libraries], 2005. http://lib.uky.edu/ETD/ukyanne2005d00276/etd.pdf.

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Thesis (Ph. D.)--University of Kentucky, 2005.<br>Title from document title page (viewed on November 4, 2005). Document formatted into pages; contains xi, 152 p. : ill. Includes abstract and vita. Includes bibliographical references (p. 134-148).
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2

Nilsson, Linus. "Object Tracking and Face Recognition in Video Streams." Thesis, Umeå universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-58076.

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The goal with this project was to improve an existing face recognition system for video streams by using adaptive object tracking to track faces between frames. The knowledge of what faces occur and do not occur in subsequent frames was used to filter false faces and to better identify real ones. The recognition ability was tested by measuring how many faces were found and how many of them were correctly identified in two short video files. The tests also looked at the number of false face detections. The results were compared to a reference implementation that did not use object tracking. Two
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3

Banarse, D. S. "A generic neural network architecture for deformation invariant object recognition." Thesis, Bangor University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362146.

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4

Collin, Charles Alain. "Effects of spatial frequency overlap on face and object recognition." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36896.

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There has recently been much interest in how limitations in spatial frequency range affect face and object perception. This work has mainly focussed on determining which bands of frequencies are most useful for visual recognition. However, a fundamental question not yet addressed is how spatial frequency overlap (i.e., the range of spatial frequencies shared by two images) affects complex image recognition. Aside from the basic theoretical interest this question holds, it also bears on research about effects of display format (e.g., line-drawings, Mooney faces, etc.) and studies examining the
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5

Higgs, David Robert. "Parts-based object detection using multiple views /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1000.

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6

Mian, Ajmal Saeed. "Representations and matching techniques for 3D free-form object and face recognition." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0046.

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[Truncated abstract] The aim of visual recognition is to identify objects in a scene and estimate their pose. Object recognition from 2D images is sensitive to illumination, pose, clutter and occlusions. Object recognition from range data on the other hand does not suffer from these limitations. An important paradigm of recognition is model-based whereby 3D models of objects are constructed offline and saved in a database, using a suitable representation. During online recognition, a similar representation of a scene is matched with the database for recognizing objects present in the scene . .
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Mian, Ajmal Saeed. "Representations and matching techniques for 3D free-form object and face recognition /." Connect to this title, 2006. http://theses.library.uwa.edu.au/adt-WU2007.0046.

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8

Holub, Alex David Perona Pietro. "Discriminative vs. generative object recognition : objects, faces, and the web /." Diss., Pasadena, Calif. : California Institute of Technology, 2007. http://resolver.caltech.edu/CaltechETD:etd-05312007-204007.

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9

Vilaplana, Besler Verónica. "Region-based face detection, segmentation and tracking. framework definition and application to other objects." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/33330.

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One of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number of applications that require face detection as a first step. In this thesis we approach the problem of face detection as a joint detection and segmentation problem, in order to precisely localize faces with pixel accurate masks. Even though this is our primary goal, in finding a solution we have tried to create a general framework as independent as possible of the type of
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10

Gunn, Steve R. "Dual active contour models for image feature extraction." Thesis, University of Southampton, 1996. https://eprints.soton.ac.uk/250089/.

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Active contours are now a very popular technique for shape extraction, achieved by minimising a suitably formulated energy functional. Conventional active contour formulations suffer difficulty in appropriate choice of an initial contour and values of parameters. Recent approaches have aimed to resolve these problems, but can compromise other performance aspects. To relieve the problem in initialisation, an evolutionary dual active contour has been developed, which is combined with a local shape model to improve the parameterisation. One contour expands from inside the target feature, the othe
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11

Fasel, Ian Robert. "Learning real-time object detectors probabilistic generative approaches /." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3216357.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed July 24, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 87-91).
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12

Clausen, Sally. "I never forget a face! : memory for faces and individual differences in spatial ability and gender." Honors in the Major Thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1394.

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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.<br>Bachelors<br>Sciences<br>Psychology
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13

Kramer, Annika. "Model based methods for locating, enhancing and recognising low resolution objects in video." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/585.

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Visual perception is our most important sense which enables us to detect and recognise objects even in low detail video scenes. While humans are able to perform such object detection and recognition tasks reliably, most computer vision algorithms struggle with wide angle surveillance videos that make automatic processing difficult due to low resolution and poor detail objects. Additional problems arise from varying pose and lighting conditions as well as non-cooperative subjects. All these constraints pose problems for automatic scene interpretation of surveillance video, including object dete
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Parkhi, Omkar Moreshwar. "Features and methods for improving large scale face recognition." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988.

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This thesis investigates vector representations for face recognition, and uses these representations for a number of tasks in image and video datasets. First, we look at different representations for faces in images and videos. The objective is to learn compact yet effective representations for describing faces. We first investigate the use of "Fisher Vector" descriptors for this task. We show that these descriptors are perfectly suited for face representation tasks. We also investigate various approaches to effectively reduce their dimension while improving their performance further. These "F
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15

Reiss, Jason Edward. "Object substitution masking what is the neural fate of the unreportable target? /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 200 p, 2007. http://proquest.umi.com/pqdweb?did=1397916081&sid=9&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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16

Šajboch, Antonín. "Sledování a rozpoznávání lidí na videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255441.

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The master's thesis deals with detecting and tracking people in the video. To get optimal recognition was used convolution neural network, which extracts vector features from the enclosed frame the face. The extracted vector is further classified. Recognition process must take place in a real time and also with respect are selected optimal methods. There is a new dataset faces, which was obtained from a video record at the faculty area. Videos and dataset were used for experiments to verify the accuracy of the created system. The recognition accuracy is about 85% . The proposed system can be u
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17

Moore, Viviene M. "The effects of age of acquisition in processing people's faces and names." Thesis, Durham University, 1998. http://etheses.dur.ac.uk/4836/.

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Word frequency and age of acquisition (AoA) influence word and object recognition and naming. High frequency and early acquired items are processed faster than low frequency and/or late acquired items. The high correlation between word frequency and AoA make these effects difficult to distinguish. However, this difficulty can be avoided by investigating the effects of AoA in the domain of recognising and naming famous faces and names. Face processing a suitable domain because the functional models of face processing were developed by analogy to word and object processing models. Nine experimen
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18

Holm, Linus. "Predictive eyes precede retrieval : visual recognition as hypothesis testing." Doctoral thesis, Umeå : Department of Psychology, Umeå University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1179.

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19

Bichsel, Martin. "Strategies of robust object recognition for the automatic identification of human faces /." [S.l.] : [s.n.], 1991. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9467.

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20

Papageorgiou, Constantine P. "A Trainable System for Object Detection in Images and Video Sequences." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/5566.

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This thesis presents a general, trainable system for object detection in static images and video sequences. The core system finds a certain class of objects in static images of completely unconstrained, cluttered scenes without using motion, tracking, or handcrafted models and without making any assumptions on the scene structure or the number of objects in the scene. The system uses a set of training data of positive and negative example images as input, transforms the pixel images to a Haar wavelet representation, and uses a support vector machine classifier to learn the differe
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21

Rajnoha, Martin. "Určování podobnosti objektů na základě obrazové informace." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-437979.

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Monitoring of public areas and their automatic real-time processing became increasingly significant due to the changing security situation in the world. However, the problem is an analysis of low-quality records, where even the state-of-the-art methods fail in some cases. This work investigates an important area of image similarity – biometric identification based on face image. The work deals primarily with the face super-resolution from a sequence of low-resolution images and it compares this approach to the single-frame methods, that are still considered as the most accurate. A new dataset
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22

Wang, Zeng. "Laser-based detection and tracking of dynamic objects." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:c7f2da08-fa1e-4121-b06b-31aad16ecddd.

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In this thesis, we present three main contributions to laser-based detection and tracking of dynamic objects, from both a model-based point of view and a model-free point of view, with an emphasis on applications to autonomous driving. A segmentation-based detector is first proposed to provide an end-to-end detection of the classes car, pedestrian and bicyclist in 3D laser data amongst significant background clutter. We postulate that, for the particular classes considered, solving a binary classification task outperforms approaches that tackle the multi-class problem directly. This is confirm
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23

Morris, Ryan L. "Hand/Face/Object." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent155655052646378.

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24

Hanafi, Marsyita. "Face recognition from face signatures." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/10566.

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This thesis presents techniques for detecting and recognizing faces under various imaging conditions. In particular, it presents a system that combines several methods for face detection and recognition. Initially, the faces in the images are located using the Viola-Jones method and each detected face is represented by a subimage. Then, an eye and mouth detection method is used to identify the coordinates of the eyes and mouth, which are then used to update the subimages so that the subimages contain only the face area. After that, a method based on Bayesian estimation and a fuzzy membership f
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25

Helmer, Scott. "Embodied object recognition." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42481.

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The ability to localize and categorize objects via imagery is central to many potential applications, including autonomous vehicles, mobile robotics, and surveillance. In this thesis we employ a probabilistic approach to show how utilizing multiple images of the same scene can improve detection. We cast the task of object detection as finding the set of objects that maximize the posterior probability given a model of the categories and a prior for their spatial arrangements. We first present an approach to detection that leverages depth data from binocular stereo by factoring classification i
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26

Wells, William Mercer. "Statistical object recognition." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12606.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.<br>Includes bibliographical references (p. 169-177).<br>by William Mercer Wells, III.<br>Ph.D.
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27

Figueroa, Flores Carola. "Visual Saliency for Object Recognition, and Object Recognition for Visual Saliency." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/671964.

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Per als humans, el reconeixement d’objectes és un procés gairebé instantani, precís i extremadament adaptable. A més, tenim la capacitat innata d’aprendre classes d’objectes nous a partir d’uns pocs exemples. El cervell humà redueix la complexitat de les dades entrants filtrant part de la informació i processant només aquelles coses que ens capturen l’atenció. Això, barrejat amb la nostra predisposició biològica per respondre a determinades formes o colors, ens permet reconèixer en un simple cop d’ull les regions més importants o destacades d’una imatge. Aquest mecanisme es pot observar analit
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28

Zhou, Shaohua. "Unconstrained face recognition." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1800.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Ustun, Bulend. "3d Face Recognition." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609075/index.pdf.

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In this thesis, the effect of registration process is evaluated as well as several methods proposed for 3D face recognition. Input faces are in point cloud form and have noises due to the nature of scanner technologies. These inputs are noise filtered and smoothed before registration step. In order to register the faces an average face model is obtained from all the images in the database. All the faces are registered to the average model and stored to the database. Registration is performed by using a rigid registration technique called ICP (Iterative Closest Point), probably the most popular
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Wong, Vincent. "Human face recognition /." Online version of thesis, 1994. http://hdl.handle.net/1850/11882.

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31

Lee, Colin K. "Infrared face recognition." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FLee%5FColin.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2004.<br>Thesis advisor(s): Monique P. Fargues, Gamani Karunasiri. Includes bibliographical references (p. 135-136). Also available online.
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Furesjö, Fredrik. "Multiple cue object recognition." Licentiate thesis, KTH, Numerical Analysis and Computer Science, NADA, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277.

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<p>Nature is rich in examples of how vision can be successfully used for sensing and perceiving the world and how the gathered information can be utilized to perform a variety of different objectives. The key to successful vision is the internal representations of the visual agent, which enable the agent to successfully perceive properties about the world. Humans perceive a multitude of properties of the world through our visual sense, such as motion, shape, texture, and color. In addition we also perceive the world to be structured into objects which are clustered into different classes - cat
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Karlsen, Mats-Gøran. "Android object recognition framework." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19219.

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This thesis is a continuation of the author&#146;s specialization project where the ultimate goal is to build an object recognition framework suitable for mobile devices in real world environments, where control over parameters such as illumination, distance, noise and availability of consistent network architectures are limited. Based on shortcomings related to object recognition performance and architectural issues the author&#146;s goal was to increase the flexibility, usability and performance of the framework.Literature was reviewed on frameworks in order to discover useful techniques for
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Furesjö, Fredrik. "Multiple cue object recognition /." Stockholm : KTH Numerical Analysis and Computer Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277.

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35

Fergus, Robert. "Visual object category recognition." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425029.

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36

Lavoie, Matt J. "Three dimensional object recognition." Honors in the Major Thesis, University of Central Florida, 1991. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/3.

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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.<br>Bachelors<br>Arts and Sciences<br>Computer Sciences
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Meng, Meng. "Human Object Interaction Recognition." Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10008/document.

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Dans cette thèse, nous avons étudié la reconnaissance des actions qui incluent l'intéraction avec l’objet à partir des données du skeleton et des informations de profondeur fournies par les capteurs RGB-D. Il existe deux principales applications que nous abordons dans cette thèse: la reconnaissance de l'interaction humaine avec l'objet et la reconnaissance d'une activité anormale. Nous proposons, dan un premier temps, une modélisation spatio-temporelle pour la reconnaissance en ligne et hors ligne des interactions entre l’humain et l’objet. Ces caractéristiques ont été adoptées pour la reconna
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Baker, Jonathan D. (Jonathan Daniel). "Multiresolution statistical object recognition." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/37721.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.<br>Includes bibliographical references (leaves 105-108).<br>by Jonathan D. Baker.<br>M.S.
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Cox, David Daniel. "Reverse engineering object recognition." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42042.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2007.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Page 95 blank.<br>Includes bibliographical references (p. 83-94).<br>Any given object in the world can cast an effectively infinite number of different images onto the retina, depending on its position relative to the viewer, the configuration of light sources, and the presence of other objects in the visual field. In spite of this, primates ca
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Wallenberg, Marcus. "Embodied Visual Object Recognition." Doctoral thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132762.

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Object recognition is a skill we as humans often take for granted. Due to our formidable object learning, recognition and generalisation skills, it is sometimes hard to see the multitude of obstacles that need to be overcome in order to replicate this skill in an artificial system. Object recognition is also one of the classical areas of computer vision, and many ways of approaching the problem have been proposed. Recently, visually capable robots and autonomous vehicles have increased the focus on embodied recognition systems and active visual search. These applications demand that systems ca
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Matas, J. "Colour-based object recognition." Thesis, University of Surrey, 1995. http://epubs.surrey.ac.uk/843934/.

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This thesis studies the use of colour information for object recognition. A new representation for objects with multiple colours - the colour adjacency graph (CAG) - is proposed. Each node of the CAG represents a single chromatic component of the image defined as a set of pixels forming a unimodal cluster in the chromatic scattergram. Edges encode information about adjacency of colour components and their reflectance ratio. The CAG is related to both the histogram and region adjacency graph representations. It is shown to be preserving and combining the best features of these two approaches wh
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Johnson, Taylor Christine. "Object Recognition and Classification." Thesis, The University of Arizona, 2012. http://hdl.handle.net/10150/243970.

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Object recognition and classification is a common problem facing computers. There are many shortcomings in proper identification of an object when it comes to computer algorithms. A very common process used to deal with classification problems is neural networks. Neural networks are modelled after the human brain and the neuron _rings that occur when an individual looks at an image and identifies the objects in it. In this work we propose a probabilistic neural network that takes into account the regional properties of an image of either an ant or an egg as determined by edge segmentation and
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Lee, Yeongseon. "Bayesian 3D multiple people tracking using multiple indoor cameras and microphones." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29668.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Rusell M. Mersereau; Committee Member: Biing Hwang (Fred) Juang; Committee Member: Christopher E. Heil; Committee Member: Georgia Vachtsevanos; Committee Member: James H. McClellan. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Whitney, Hannah L. "Object agnosia and face processing." Thesis, University of Southampton, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548326.

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Qu, Yawe, and Mingxi Yang. "Online Face Recognition Game." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-248.

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<p>The purpose of this project is to test and improve people’s ability of face recognition. </p><p>Although there are some tests on the internet with the same purpose, the problem is that people </p><p>may feel bored and give up before finishing the tests. Consequently they may not benefit from </p><p>testing nor from training. To solve this problem, face recognition and online game are put </p><p>together in this project. The game is supposed to provide entertainment when people are playing, </p><p>so that more people can take the test and improve their abilities of face recognition. </p><p>
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Batur, Aziz Umit. "Illumination-robust face recognition." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/15440.

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Graham, Daniel B. "Pose-varying face recognition." Thesis, University of Manchester, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488288.

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Zhou, Mian. "Gobor-boosting face recognition." Thesis, University of Reading, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494814.

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In the past decade, automatic face recognition has received much attention by both the commercial and public sectors as an efficient and resilient recognition technique in biometrics. This thesis describes a highly accurate appearance-based algorithm for grey scale front-view face recognition - Gabor-Boosting face recognition by means of computer vision, pattern recognition, image processing, machine learning etc. The strong performance of the Gabor-boosting face recognition algorithm is highlighted by combining three key leading edge techniques - the Gabor wavelet transform, AdaBoost, Support
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49

Abi, Antoun Ramzi. "Pose-Tolerant Face Recognition." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/244.

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Automatic face recognition performance has been steadily improving over years of active research, however it remains significantly affected by a number of external factors such as illumination, pose, expression, occlusion and resolution that can severely alter the appearance of a face and negatively impact recognition scores. The focus of this thesis is the pose problem which remains largely overlooked in most real-world applications. Specifically, we focus on one-to-one matching scenarios where a query face image of a random pose is matched against a set of “mugshot-style” near-frontal galler
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Lincoln, Michael C. "Pose-independent face recognition." Thesis, University of Essex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250063.

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