Template Matching Techniques in Computer Vision: Theory and Practice
Roberto Brunelli
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Description for Template Matching Techniques in Computer Vision: Theory and Practice
Hardcover. The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. Num Pages: 348 pages, Illustrations. BIC Classification: TJ; UYQV. Category: (P) Professional & Vocational. Dimension: 253 x 176 x 25. Weight in Grams: 760.
The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli:
The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli:
- examines the basics of ... Read more
- presents basic and advanced template matching techniques, targeting grey-level images, shapes and point sets;
- discusses recent pattern classification paradigms from a template matching perspective;
- illustrates the development of a real face recognition system;
- explores the use of advanced computer graphics techniques in the development of computer vision algorithms.
Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development of systems for effective object recognition such as biometrics, robot navigation, multimedia retrieval and landmark detection. It is also of interest to graduate students undertaking studies in these areas.
Show LessProduct Details
Format
Hardback
Publication date
2009
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
348
Condition
New
Number of Pages
352
Place of Publication
New York, United States
ISBN
9780470517062
SKU
V9780470517062
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Roberto Brunelli
Roberto Brunelli, Senior Researcher, ITC-irst, Italy Roberto Brunelli is currently working for ITC-irst for the Technologies of Vision Research Line of Interactive Sensory Systems Division. He has held this post since 1987 after gaining his degree in Physics from the University of Trento (Italy). His research activities and interests are in the areas of computer vision tools, analysis of aerial ... Read more
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