Verfügbarkeit: Handbook of pattern recognition and computer vision

Handbook of pattern recognition and computer vision:

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Bibliographische Detailangaben
Weitere Verfasser:	Chen, Chi-hau 1937- (HerausgeberIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	[London] ICP [u.a.] 2010
Ausgabe:	4. ed.
Schlagworte:	Computer vision Pattern recognition systems Mustererkennung Maschinelles Sehen Computervision Aufsatzsammlung
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	XX, 776 S. Ill., graph. Darst.
ISBN:	9814273384 9789814273381

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Datensatz im Suchindex

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adam_text	Titel: Handbook of pattern recognition and computer vision Autor: Chen, Chi-hau Jahr: 2010 Handbook of Pattern Recognition and Computer Vision, vol. 3, World Scientific Publishing 2005 Contents Page Numbers Preface to the Third Edition Part 1 Basic Methods in Pattern Recognition 1 1.1 Statistical Pattern Recognition, by R.P.W. Duin and D.M.J. Tax 3 1.2 Hidden Markov Models for Spatial Temporal Pattern Recognition, by 25 Brian C. Lovell and Terry Caelli 1.3 A New Kernel-based Formalization of Minimum Error Pattern 41 Recognition, by Erik McDermont and Shigeru Katagiri 1.4 Parallel Contextual Array Grammars with Trajectories, by P. Helen 55 Chandra, P. Helen Chandra, C. Martin-Vide, K.G. Subramanian, D.L. Van and P.S.P. Wang 1.5 Pattern Recognition with Local Invariant Features, by C. Schmid, 71 G. Dorko, S. Lazebnik, K. Mikolajczyk and J. Ponce viii Introduction Part 2 Basic Methods in Computer Vision 99 2.1 Case-based Reasoning for Image Analysis and Interpretation, by Petra 101 Perner 2.2 Projective Geometry and Computer Vision, by Quang-Tuan Luong 115 2.3 Skeletonization in 3D Discrete Binary Images, by Gabriella Sanniti 137 di Baja and Ingela Nystrom 2.4 Digital Distance Transforms in 2D, 3D, and 4D, by Gunilla Borgefers 157 2.5 Computing Global Shape Measures, by Paul Rosin 177 2.6 Texture Analysis with Local Binary Patterns, by Topi Maenpaa and 197 Matti Pietikainen Part 3 Recognition Applications 217 3.1 Document Analysis and Understanding, by Yuan Yan Tang 219 3.2 Chinese Character Recognition, by Xiaoqing Ding 241 3.3 Extraction of Words from Handwritten Sentences, by Incheol Kim and 259 Ching Y. Suen 3.4 OCR Assessment of Print-fonts for Enhancing Human Vision, by Ching 273 Y. Suen, Qizhi Xu and Cedric Devoghelaere 3.5 Clustering and Classification of Web Documents Using Graph Models, 287 by Adam Shenker, Horst Bunke, Mark Last and Abraham Kandel 3.6 Automated Detection of Masses in Mammograms, by H.D. Cheng, 303 X.J. Shi, R. Min, X.P. Cai and H.N. Du 3.7 Wavelet-based Kalman Filtering in Scale Space for Image Fusion, by 325 His-Chin Hsin and Ching-Chung Li 3.8 Multisensor Fusion with Hyperspectral Imaging Data: Detection and 347 Classification, by Su May Hsu and Hsiao-hua Burke 3.9 Independent Component Analysis of Functional Magnetic Resonance 365 Imaging Data, by Vince D. Calhoun and Baoming Hong Part 4 Human Identification 385 4.1 Multimodal Emotion Recognition, by Nicu Sebe, Ira Cohen and 3 87 Thomas S. Huang 4.2 Gait-based Human Identification from a Monocular Video Sequence, 411 by Amit Kale, Aravind Sundaresan, Amit K. RoyChowdhury, Rama Chellappa 4.3 Palmprint Authentication System, by David Zhang 431 4.4 Reconstruction of High-Resolution Facial Images for Visual 445 Surveillance, by Jeong-Seon Park and Seong-Whan Lee 4.5 Object Recognition with Deformable Feature Graphs: Faces, Hands, 461 and Cluttered Scenes, by Jochen Triesch and Christian Eckes 4.6 Hierarchical Classification and Feature Reduction for Fast Face 481 Detection, by Bernd Heisele, Thomas Serre, Sam Prentice, and Tomaso Poggio Introduction ix Part 5 System and Technology 497 5.1 Tracking and Classifying Moving Objects Using Single or Multiple 499 Cameras, by Quming Zhou and J.K. Aggarwal 5.2 Performance Evaluation of Image Segmentation Algorithms, by 525 Ziaoyi Jiang 5.3 Content-based Video Analysis for Knowledge Discovery, by 543 Chia Hung Yeh, Shin-Hung Lee and C.-C. Jay Kuo 5.4 Object-Process Methodology and its Applications to Image Processing 559 and Pattern Recognition, by Dov Dori 5.5 Musical Style Recognition - a Quantitative Approach, by 583 Peter van Kranenburg and Eric Backer 5.6 Auto-detector: Mobile Automatic Number Plate Recognition, by 601 Giovanni B. Garibotto 5.7 Omnidirectional Vision, by Hiroshi Ishiguro 619 Index 629 Handbook of Pattern Recognition and Computer Vision, vol. 2, World Scientific Publishing 1999 Contents Page (indicates chapter reprinted or modified from vol. 1) Numbers Preface to the Second Edition Preface Foreword A Memorial to the Late Professor King-Sun Fu Part 1 Basic Methods in Pattern Recognition 1 1.1 Cluster Analysis and Related Issues, by Richard C. Dubes 3 1.2 Statistical Pattern Recognition, by Keinosuke Fukunaga 33 1.3 Syntactic Pattern Recognition, by Kou-Yuan Huang 61 1.4 Neural Net Computing for Pattern Recognition, by Yoh-Han Pao 105 1.5 On Multiresolution Wavelet Analysis using Gaussian Markov Random 143 Field Models, by C.H. Chen and G.G. Lee 1.6 A Formal Parallel Model for Three-Dimensional Object Pattern 183 Representation, by P.S.P. Wang Part 2 Basic Methods in Computer Vision 205 2.1 Texture Analysis, by Mihran Taceryan and Anil K. Jain 207 2.2 Model-Based Texture Segmentation and Classification, by 249 R. Challappa, R.L. Kashyap and B.S. Manjunath 2.3 Color in Computer Vision: Recent Progress, by Glenn Healey and 283 Quang-Tuan Luong 2.4 Projective Geometry and Computer Vision, by Roger Mohr 313 2.5 3-D Motion Analysis from Image Sequences using Point 339 Correspondences, by John J. Weng and Thomas S. Huang x Introduction 2.6 Signal-to-Symbol Mapping for Laser Rangfmders, by Kenong Wu 387 and Martin D. Levine 2.7 3-D Vision of Dynamic Objects, by S.Y. Lu and Chandra Kambhametu 425 Part 3 Recognition Applications 453 3.1 Pattern Recognition in Nondestructive Evaluation of Materials, by 455 C.H. Chen 3.2 Discriminative Training-Recent Prgress in Speech Recognition, by 473 Shigeru Katagri and Erik Mcdermott 3.3 Statistical and Neural Network Pattern Recognition Methods for Remote 507 Sensing Aplications, by Jon Atli Benediktsson 3.4 Multi-SEnsory Opto-Electronic Featiure Extraction Neural Associative 535 Retriever, by H.K. Liu, Y.H. Jin, Neville I. Marzell and Shaomin Zhou 3.5 Classification of Human Chromosomes-A Study of Correlated 567 Behavior in Majority Vote, by Louisa Lam and Ching Y. Suen 3.6 Document Analysis and Recognition by Computers, by Yuan Y. Tang, 579 M. Cheriet, Jiming Liu, J.N. Said and Ching Y. Suen 3.7 Pattern Recognition and Visualization of Sparsely Sampled Biomedical 613 Signals, by Ching-Chang Li, T.P. Wang and A.H. Vagnucci 3.8 Pattern Recognition and Computer Vision for Geographic Data 625 Analysis, by F. Cavayas and Y. Baudouin 3.9 Face Recognition Technology, by Martin Lades 667 Part 4 Inspection and Robotic Applications 685 4.1 Computer Vision in Food Handling and Sorting, by Hordur Anarson 687 and Magnus Asmundsson 4.2 Approaches to texture-Based Classification, Segmentation and Surface 711 Inspection, by Matti Pietikainen, Timo Ojala and Olli Silven 4.3 Context Related Issues in Image Understanding, by L.F. Pau 737 4.4 Position Estimation Techniques for An Autonomous Mobile Robot-A 765 Review, by Raj Talluri and J.K. Aggarwal 4.5 Computer Vision in Postal Automation, by G. Garibotto and C. 797 Scagliola 4.6 Vision-Based Automatic Road Vehicle Guidance, by Dieter Roller, 817 Quang-Tuan Luong, Joseph Weber and Jitendra Malik Part 5 Architecture and Technology 855 5.1 Vision Engineering: Designing Computer Vision Systems, by 857 Rama Chellappa and Azriel Rosenfeld 5.2 Optical Pattern Recognition for Computer Vision, by David Casasent 869 5.3 Infra-Red Thermography: Techniques and Applications, by M.J. Varga 891 and P.G. Ducksbury 5.4 Viewer-Centered Representations in Object Recognition: A 925 Computational Approach*, by Ronen Basri 5.5 Video Content Analysis and Retrieval, by Hongjiang Zhang 945 Introduction xi 5.6 VLSI Architectures for Moments and Their Applications to Pattern 979 Recognition, by Heng-da Cheng, Chen-Yuan Wu and Jiguang Li Index 1003 Handbook of Pattern Recognition and Computer Vision, vol. 1, World Scientific Publishing 1993 Contents Page Numbers Preface Part 1 Basic Methods in Pattern Recognition 1 1.1 Cluster Analysis and Related Issues, by Richard C. Dubes 3 1.2 Statistical Pattern Recognition, by Keinosuke Fukunaga 33 1.3 Large-Scale Feature Selection, by Jack Skalansky et al. 61 1.4 Neural Net Computing for Pattern Recognition, by Yoh-Han Pao 125 1.5 Structural and Syntactic Pattern Recogniton, by Horst Bunke 163 1.6 A Formal Parallel Model for Three-Dimensional Object Pattern 211 Representation, by P.S.P. Wang Part 2 Basic Methods in Computer Vision 233 2.1 Texture Analysis, by Mihran Tuceryan and Anil K. Jain 235 2.2 Model-Based Texture Segmentation and Classification, by 277 R. Chellappa, R.L. Kashyap and B.S. Munjunath 2.3 Color in Computer Vision, by Quang-Tuan Luong 311 2.4 Projective Geometry and Computer Vision, by Roger Mohr 369 2.5 3-D Motion Analysis from Image Sequences Using Point 395 Correspondences, by John J. Weng and Thomas S. Huang 2.6 Segmentation Tools in Mathematical Morphology, by Serge Beucher 443 2.7 Parallel Thinning Algorithm for Binary Digital Patterns, by Yung-Sheng 457 Chen and Wen-Hsing Hsu Part 3 Recognition Applications 491 3.1 Pattern Recognition in Nondestructive Evaluation of Materials, by 493 C.H. Chen 3.2 Pattern Recognition in Geophysical Signal Processing and 511 Interpretation, by Yanda Li, Zhaoqi Bian, Pinfan Yan and Tong Chang 3.3 Signal Transient Analysis and Classification Techniques, by 541 R. Craig Olson 3.4 Analysis of Economic and Business Information, by Claudio Gianotti 569 3.5 Optical Handwritten Chinese Character Recognition, by Jun S. Huang 595 3.6 Automatic Analysis and Understanding of Documents, by 625 Yuan Y. Tang, Chang D. Yan, M. Cheriet and Ching Y. Suen 3.7 Pattern Recognition and Visualization of Sparsely Sampled Biomedical 655 Signals, by Ching-Chung Li, T.P. Wang and A.H. Vagnucci xii Introduction 3.8 Understanding Microvessels in Two and Three Dimensions, by 667 Carl E. Wick, Murray H. Loew and Joseph Kurantsin-Mills Part 4 Inspection and Robotics Applications 695 4.1 Computer Vision in Food Handling and Sorting, by Hordur Arnarson 697 and Magnus Asmundsson 4.2 Image Information Retrieval Systems, by Ang Yew-Hock, Arcot Desai 719 Narasimhalu, and Saliman Al-Hawanamdeh 4.3 Context Related Sigues in Image Understanding, by L.F. Pau 741 4.4 Positional Estimation Techniques for An Autonomous Mobile Robot- 769 A Review, by Raj Talluri and J.K. Aggrawal Part 5 Architectures and Technology 803 5.1 Vision Engineering: Designing Computer Vision Systems, by Rama 805 Chellappa and Azriel Rosenfeld 5.2 Optical Pattern Recognition for Computer Vision, by David Casasent 817 5.3 Spatial Knowledge Representation for Iconic Image Database, by 839 Suh-Yin Lee and Fang-Jung Hsu 5.4 Viewer-Centered Representation for Object Recognition: A 863 Computational Approach, by Ronen Basri 5.5 Connectionist Architectures in Low Level Image Segmentation, by 883 W. Ekkehard Blanz, Charles E. Cox and Sheri L. Gish 5.6 Architectures for Image Processing and Computer Vision, by 921 Giovanni Garibotto 5.7 Image Information Systems: Where Do We Go from Here?, by 941 Shi-Kuo Chang and Arding Hsu Subject Index 967 July 2009 C.H. Chen
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title	Handbook of pattern recognition and computer vision
title_auth	Handbook of pattern recognition and computer vision
title_exact_search	Handbook of pattern recognition and computer vision
title_full	Handbook of pattern recognition and computer vision ed. C. H. Chen
title_fullStr	Handbook of pattern recognition and computer vision ed. C. H. Chen
title_full_unstemmed	Handbook of pattern recognition and computer vision ed. C. H. Chen
title_short	Handbook of pattern recognition and computer vision
title_sort	handbook of pattern recognition and computer vision
topic	Computer vision Pattern recognition systems Mustererkennung (DE-588)4040936-3 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Computervision (DE-588)4207417-4 gnd
topic_facet	Computer vision Pattern recognition systems Mustererkennung Maschinelles Sehen Computervision Aufsatzsammlung
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