The detection and recognition of objects in images is a keyresearch topic in the computer vision community. Within thisarea, face recognition and interpretation has attracted increasingattention owing to the possibility of unveiling human perceptionmechanisms, 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 recognitionapplications. Using examples from face processing tasks throughoutthe book to illustrate more general object recognition approaches,Roberto Brunelli:
* examines the basics of digital image formation, highlightingpoints critical to the task of template matching;
* presents basic and advanced template matchingtechniques, targeting grey-level images, shapes and pointsets;
* discusses recent pattern classification paradigms from atemplate matching perspective;
* illustrates the development of a real face recognitionsystem;
* explores the use of advanced computer graphics techniques inthe development of computer vision algorithms.
Template Matching Techniques in Computer Vision isprimarily aimed at practitioners working on the development ofsystems for effective object recognition such as biometrics, robotnavigation, multimedia retrieval and landmark detection. It is alsoof interest to graduate students undertaking studies in theseareas.