Relevant bibliographies by topics / Human face recognition (Computer science) Image processing

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  1. Dissertations / Theses

Academic literature on the topic 'Human face recognition (Computer science) Image processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Dissertations / Theses on the topic "Human face recognition (Computer science) Image processing"

1

Feng, Guo Can. "Face recognition using virtual frontal-view image." HKBU Institutional Repository, 1999. http://repository.hkbu.edu.hk/etd_ra/267.

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2

Da, Silva Sandro Cahanda Marinho. "Remote surveillance and face tracking with mobile phones (smart eyes)." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&amp.

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This thesis addresses analysis, evaluation and simulation of low complexity face detection algorithms and tracking that could be used on mobile phones. Network access control using face recognition increases the user-friendliness in human-computer interaction. In order to realize a real time system implemented on handheld devices with low computing power, low complexity algorithms for face detection and face tracking are implemented. Skin color detection algorithms and face matching have low implementation complexity suitable for authentication of cellular network services. Novel approaches for reducing the complexities of these algorithms and fast implementation are introduced in this thesis. This includes a fast algorithm for face detection in video sequences, using a skin color model in the HSV (Hue-Saturation-Value) color space. It is combined with a Gaussian model of the H and S statistics and adaptive thresholds. These algorithms permit segmentation and detection of multiple faces in thumbnail images. Furthermore we evaluate and compare our results with those of a method implemented in the Chromatic Color space (YCbCr). We also test our test data on face detection method using Convolutional Neural Network architecture to study the suitability of using other approaches besides skin color as the basic feature for face detection. Finally, face tracking is done in 2D color video streams using HSV as the histogram color space. The program is used to compute 3D trajectories for a remote surveillance system.
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3

鄭健城 and Kin-shing Dominic Cheng. "Studies on facial surface reconstruction from image correspondence." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224131.

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4

Cheng, Kin-shing Dominic. "Studies on facial surface reconstruction from image correspondence." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22925958.

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5

Man, Chun Him. "Human face image searching system with relevance feedback using sketch." HKBU Institutional Repository, 2005. http://repository.hkbu.edu.hk/etd_ra/618.

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6

Li, Qi. "An integration framework of feature selection and extraction for appearance-based recognition." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 8.38 Mb., 141 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3220745.

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7

Gökçay, Didem. "Self-organizing features for regularized image standardization." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/ank7112.

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Thesis (Ph. D.)--University of Florida, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains ix, 117 p.; also contains graphics. Vita. Includes bibliographical references (p. 109-116).
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8

Zhang, Cuiping Cohen Fernand S. "3D face structure extraction from images at arbitrary poses and under arbitrary illumination conditions /." Philadelphia, Pa. : Drexel University, 2006. http://hdl.handle.net/1860/1294.

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9

Zhan, Ce. "Facial expression recognition for multi-player on-line games." School of Computer Science and Software Engineering, 2008. http://ro.uow.edu.au/theses/100.

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Multi-player on-line games (MOGs) have become increasingly popular because of the opportunity they provide for collaboration, communications and interactions. However, compared with ordinary human communication, MOG still has several limitations, especially in the communication using facial expressions. Although detailed facial animation has already been achieved in a number of MOGs, players have to use text commands to control the expressions of avatars. This thesis proposes an automatic expression recognition system that can be integrated into a MOG to control the facial expressions of avatars. To meet the specific requirements of such a system, a number of algorithms are studied, tailored and extended. In particular, Viola-Jones face detection method is modified in several aspects to detect small scale key facial components with wide shape variations. In addition a new coarse-to-fine method is proposed for extracting 20 facial landmarks from image sequences. The proposed system has been evaluated on a number of databases that are different from the training database and achieved 83% recognition rate for 4 emotional state expressions. During the real-time test, the system achieved an average frame rate of 13 fps for 320 x 240 images on a PC with 2.80 GHz Intel Pentium. Testing results have shown that the system has a practical range of working distances (from user to camera), and is robust against variations in lighting and backgrounds.
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10

Chen, Xiaochen. "Tracking vertex flow on 3D dynamic facial models." Diss., Online access via UMI:, 2008.

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