Handbook of Pattern Recognition and Computer Vision (3rd Edition)

Overview

The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures.
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Overview

The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures.
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Product Details

  • ISBN-13: 9789812561053
  • Publisher: World Scientific Publishing Company, Incorporated
  • Publication date: 4/15/2005
  • Edition number: 3
  • Pages: 639
  • Product dimensions: 6.88 (w) x 10.00 (h) x 1.15 (d)

Table of Contents

Ch. 1.1 Statistical pattern recognition 3
Ch. 1.2 Hidden Markov models for spatio-temporal pattern recognition 25
Ch. 1.3 A new kernel-based formalization of minimum error pattern recognition 41
Ch. 1.4 Parallel contextual array grammars with trajectories 55
Ch. 1.5 Pattern recognition with local invariant features 71
Ch. 2.1 Case-based reasoning for image analysis and interpretation 95
Ch. 2.2 Multiple image geometry - a projective viewpoint 115
Ch. 2.3 Skeletonization in 3D discrete binary images 137
Ch. 2.4 Digital distance transforms in 2D, 3D, and 4D 157
Ch. 2.5 Computing global shape measures 177
Ch. 2.6 Texture analysis with local binary patterns 197
Ch. 3.1 Document analysis and understanding 219
Ch. 3.2 Chinese character recognition 241
Ch. 3.3 Extraction of words from handwritten legal amounts on bank cheques 259
Ch. 3.4 OCR assessment of printed-fonts for enhancing human vision 273
Ch. 3.5 Clustering and classification of Web documents using a graph model 287
Ch. 3.6 Automated detection of masses in mammograms 303
Ch. 3.7 Wavelet-based Kalman filtering in scale space for image fusion 325
Ch. 3.8 Multisensor fusion with hyperspectral imaging data : detection and classification 347
Ch. 3.9 Independent component analysis of functional magnetic resonance imaging data 365
Ch. 4.1 Multimodal emotion recognition 387
Ch. 4.2 Gait-based human identification from a monocular video sequence 411
Ch. 4.3 Palmprint authentication system 431
Ch. 4.4 Reconstruction of high-resolution facial images for visual surveillance 445
Ch. 4.5 Object recognition with deformable feature graphs : faces, hands, and cluttered scenes 461
Ch. 4.6 Hierarchical classification and feature reduction for fast face detection 481
Ch. 5.1 Tracking and classifying moving objects using single or multiple cameras 499
Ch. 5.2 Performance evaluation of image segmentation algorithms 525
Ch. 5.3 Contents-based video analysis for knowledge discovery 543
Ch. 5.4 Object-process methodology and its applications to image processing and pattern recognition 559
Ch. 5.5 Musical style recognition - a quantative approach 583
Ch. 5.6 Auto-detector : mobile automatic number plate recognition 601
Ch. 5.7 Omnidirectional vision 619
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