
Template Matching Techniques in Computer Vision
theory and practice
$319.06
- Hardcover
352 pages
- Release Date
1 May 2009
Summary
Mastering Object Recognition: Template Matching Techniques in Computer Vision
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 focuses on template matching, a subset of object recognition techniques of wid…
Book Details
ISBN-13: | 9780470517062 |
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ISBN-10: | 0470517069 |
Author: | Roberto Brunelli |
Publisher: | John Wiley & Sons Inc |
Imprint: | John Wiley & Sons Inc |
Format: | Hardcover |
Number of Pages: | 352 |
Edition: | 1st |
Release Date: | 1 May 2009 |
Weight: | 748g |
Dimensions: | 246mm x 173mm x 25mm |
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About The Author
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 images, the development of algorithms for the compressed description of binary images, optimization, neural networks, face analysis, video analysis and image retrieval. Dr Brunelli’s research projects have been implemented in several EU funded projects, and he has also undertaken teaching assignments at the International Doctorate School of the University of Trento. He has written over 30 published journal and conference papers, several of which deal with computational face perception. The paper ‘Template Matching: Matched Spatial Filters and Beyond’ received a Pattern Recognition Society Award in 1998. He has acted as a referee for some of the major journals on image processing and related techniques, for example Computer Vision and Image Understanding and IEEE Transactions on Image Processing, and has also been on the Technical Committee for several conferences, including Audio- and Video-Based Biometric Person Authentication, IEEE Conference on Computer Vision and Pattern Recognition and European Conference on Computer Vision.
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