Template Matching Techniques in Computer Vision: Theory and Practice

摘要: The detection and recognition of objects in images is a key research topic the computer vision community. Within this area, face interpretation has attracted increasing attention owing to possibility unveiling human perception mechanisms, for development practical biometric systems. This book accompanying website, focus on template matching, subset object techniques wide applicability, which proved be particularly effective applications. Using examples from processing tasks throughout illustrate more general approaches, Roberto Brunelli: examines basics digital image formation, highlighting points critical task matching; presents basic advanced matching techniques, targeting grey-level images, shapes point sets; discusses recent pattern classification paradigms perspective; illustrates real system; explores use graphics algorithms. Template Matching Techniques Computer Vision primarily aimed at practitioners working systems such as biometrics, robot navigation, multimedia retrieval landmark detection. It also interest graduate students undertaking studies these areas.