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Object Recognition: Fundamentals and Case Studies
 
M Bennamoun, G J Mamic
Price : ₹ 550.00  
ISBN : 9781852333980
Language : English
Pages : 362
Binding : Paperback
Book Size : 158 x 240 mm
Year : 2008
Series :
Territorial Rights : Restricted
Imprint : No Image
 
   
 
Catalogues : Computer Science
 
About the Book

This volume introduces the fundamental concepts and tools involved in the design and implementation of object recognition systems. Divided into three parts, it first introduces the topic and covers the acquisition of images, then details 3-D object reconstruction, modelling and matching, and finally describes typical recognition systems using case studies. Key features include: Extensive literature surveys of state-of-the-art systems Recognition will be essential reading for research scientists, advanced undergraduate and postgraduate students in computer vision, image processing and pattern classification. It will also be of interest to practitioners working in the field of computer vision.

Table of Contents

Part A - Introduction and Acquisition Systems: 1. Introduction.- 2. Stereo Matching and Reconstruction of a Depth Map.- Part A - Summary.- Part B - Database Creation and Modeling for 3D Object Recognition: 3. 3-D Object Creation for Recognition.- 4. Object Representation and Feature Matching.- Part B - Summary.- Part C - Vision Systems - Case Studies: 5. Optical Character Recognition.- 6. Recognition by Parts and Part Segmentation Techniques.- 7. 3D Object Recognition Systems.- Part C - Summary: A. Vector and Matrix Analysis.- B. Principal Component Analysis.- C. Optimisation Fundamentals.- D. Differential Geometry - Basic Principles.- E. Spline Theory.- F. Detailed Derivation of Registration Equations.- References.- Index.