Contents:

• Basic Methods in Pattern Recognition:
• Cluster Analysis and Related Issues (R C Dubes)
• Statistical Pattern Recognition (K Fukunaga)
• Syntactic Pattern Recognition (K-Y Huang)
• Neural Net Computing for Pattern Recognition (Y-H Pao)
• On Multiresolution Wavelet Analysis Using Gaussian Markov Random Field Models (C H Chen & G G Lee)
• A Formal Parallel Model for Three-Dimensional Object Pattern Representation (P S P Wang)
• Basic Methods in Computer Vision:
• Texture Analysis (M Tuceryan & A K Jain)
• Model-Based Texture Segmentation and Classification (R Chellappa et al.)
• Colour in Computer Vision: Recent Progress (G Healey & Q-T Luong)
• Projective Geometry and Computer Vision (R Mohr)
• 3-D Motion Analysis from Image Sequences Using Point Correspondences (J J Weng & T S Huang)
• Signal-to-Symbol Mapping for Laser Rangefinders (K-N Wu & M D Levine)
• 3-D Vision of Dynamic Objects (S-Y Lu & C Kambhamettu)
• Recognition Applications:
• Pattern Recognition in Nondestructive Evaluation of Materials (C H Chen)
• Discriminative Training � Recent Progress in Speech Recognition (S Katagiri & E McDermott)
• Statistical and Neural Network Pattern Recognition Methods for Remote Sensing Applications (J A Benediktsson)
• Multi-Sensory Opto-Electronic Feature Extraction Neural Associative Retriever (H-K Liu et al.)
• Classification of Human Chromosomes � A Study of Correlated Behavior in Majority Vote (L Lam & C Y Suen)
• Document Analysis and Recognition by Computers (Y Y Tang et al.)
• Pattern Recognition and Visualization of Sparsely Sampled Biomedical Signals (C-C Li et al.)
• Pattern Recognition and Computer Vision for Geographic Data Analysis (F Cavayas & Y Baudouin)
• Face Recognition Technology (M Lades)
• Inspection and Robotic Applications:
• Computer Vision in Food Handling and Sorting (H Arnarson & M �smundsson)
• Approaches to Texture-Based Classification, Segmentation and Surface Inspection (M Pietik�inen et al.)
• Context Related Issues in Image Understanding (L F Pau)
• Position Estimation Techniques for an Autonomous Mobile Robot � A Review (R Talluri & J K Aggarval)
• Computer Vision in Postal Automation (G Garibotto & C Scagliola)
• Vision-Based Automatic Road Vehicle Guidance (D Koller et al.)
• Architecture and Technology:
• Vision Engineering: Designing Computer Vision Systems (R Chellappa & A Rosenfeld)
• Optical Pattern Recognition for Computer Vision (D Casasent)
• Infra-Red Thermography: Techniques and Applications (M J Varga & P G Ducksbury)
• Viewer-Centered Representations in Object Recognition: A Computational Approach (R Basri)
• Video Content Analysis and Retrieval (H-J Zhang)
• VLSI Architectures for Moments and Their Applications to Pattern Recognition (H-D Cheng et al)

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Readership: Computer scientists, engineers, statisticians and applied mathematicians.

Review of the 1st Edition

"All the papers contain an exhaustive list of references covering most of the work in the field of PR and computer vision. The handbook contains also a subject index facilitating the use of the book as a reference source. All this makes the Handbook of PR & Computer Vision an indispensable source of information for any researcher in the field (or even in application fields) and it should not be missing from any engineering or mathematical library."