| Document Type
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BL
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| Record Number
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986636
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| Doc. No
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b741006
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| Title & Author
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Handbook of pattern recognition computer vision /\ edited by C.H. Chen, L.F. Pau, P.S.P. Wang.
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| Edition Statement
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2nd ed.
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| Publication Statement
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Singapore ;River Edge, N.J. :: World Scientific,, ©1999.
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| Page. NO
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1 online resource (xxiii, 1019 pages) :: illustrations
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| ISBN
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9789812384737
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: 9812384731
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9789810230715
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9810230710
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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pt. 1. Basic methods in pattern recognition. 1.1. Cluster analysis and related issues / Richard C. Dubes. 1.2. Statistical pattern recognition / Keinosuke Fukunaga. 1.3. Syntactic pattern recognition / Kou-Yuan Huang. 1.4. Neural net computing for pattern recognition / Yoh-Han Pao. 1.5. On multiresolution wavelet analysis using Gaussian Markov field models / C.H. Chen and G.G. Lee. 1.6. A formal parallel model for three-dimensional object pattern representation / P.S.P. Wang -- pt. 2. Basic methods in computer vision. 2.1. Texture analysis / Mihran Tuceryan and Anil K. Jain. 2.2. Model-based texture segmentation and classification / R. Chellappa, R.L. Kashyap and B.S. Manjunath. 2.3. Color in computer vision: recent progress / Glenn Healey and Quang-Tuan Luong. 2.4. Projective geometry and computer vision / Roger Mohr. 2.5. 3-D motion analysis from image sequences using point correspondences / John. J. Weng and Thomas S. Huang. 2.6. Signal-to-symbol mapping for laser rangefinders / Kenong Wu and Martin D. Levine. 2.7. 3-D vision of dynamic objects / S.-Y. Lu and Chandra Kambhamettu -- pt. 3. Recognition applications. 3.1. Pattern recognition in nondestructive evaluation of materials / C.H. Chen. 3.2. Discriminative training -- recent progress in speech recognition / Shigeru Katagiri and Erik Mcdermott. 3.3. Statistical and neural network pattern recognition methods for remote sensing applications / Jón Atli Benediktsson. 3.4. Multi-sensory opto-electronic feature extraction neural associative retriever / H.-K. Liu [and others]. 3.5. Classification of human chromosomes -- a study of correlated behavior in majority vote / Louisa Lam and Ching Y. Suen. 3.6. Document analysis and recognition by computers / Yuan Y. Tang [and others]. 3.7. Pattern recognition and visualization of sparsely sampled biomedical signals / Ching-Chung Li, T.P. Wang and A.H. Vagnucci. 3.8. Pattern recognition and computer vision for geographic data analysis / F. Cavayas and Y. Baudouin. 3.9. Face recognition technology / Martin Lades.
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pt. 4. Inspection and robotic applications. 4.1. Computer vision in food handling and sorting / Hördur Arnarson and Magnús Ásmundsson. 4.2. Approaches to texture-based classification, segmentation and surface inspection / Matti Pietikäinen, Timo Ojala and Olli Silven. 4.3. Context related issues in image understanding / L.F. Pau. 4.4. Position estimation techniques for an autonomous mobile robot -- a review / Raj Talluri and J.K. Aggarwal. 4.5. Computer vision in postal automation / G. Garibotto and C. Scagliola. 4.6. Vision-based automatic road vehicle guidance / Dieter Koller [and others] -- pt. 5. Architecture and technology. 5.1. Vision engineering: designing computer vision systems / Rama Chellappa and Azriel Rosenfeld. 5.2. Optical pattern recognition for computer vision / David Casasent. 5.3. Infra-red thermography: techniques and applications / M.J. Varga and P.G. Ducksbury. 5.4. Viewer-centered representations in object recognition: a computational approach / Ronen Basri. 5.5. Video content analysis and retrieval / Hongjiang Zhang. 5.6. VLSI architectures for moments and their applications to pattern recognition / Heng-da Cheng, Chen-Yuan Wu and Jiguang Li.
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| Abstract
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The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
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| Subject
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Computer vision.
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| Subject
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Pattern recognition systems.
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| Subject
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Computer vision.
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COMPUTERS-- Optical Data Processing.
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| Subject
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Pattern recognition systems.
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| Subject
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Computers.
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| Subject
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Patroonherkenning.
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| Subject
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Visuele waarneming.
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| Dewey Classification
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006.4
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| LC Classification
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TK7882.P3H35 1999eb
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| Added Entry
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Chen, C. H., (Chi-hau),1937-
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Pau, L.-F., (Louis-François),1948-
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Wang, Patrick S-P., (Patrick Shen-pei)
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| Parallel Title
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Handbook of pattern recognition and computer vision
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