Template Matching Techniques in Computer Vision: Theory and Practice
Template Matching Techniques in Computer Vision: Theory and Practice
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发表时间：
2009-04
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通讯作者：
R. Brunelli
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作者：
R. Brunelli
图像中目标的检测与识别是计算机视觉领域的一个重要研究课题。在这一领域，人脸识别和解释受到越来越多的关注，这是因为有可能揭示人类的感知机制，并用于开发实用的生物识别系统。这本书和随附的网站重点介绍了模板匹配，这是一种具有广泛适用性的对象识别技术的子集，事实证明，这对人脸识别应用程序特别有效。罗伯托·布鲁内利使用本书中人脸处理任务的例子来说明更一般的对象识别方法：研究数字图像形成的基础，突出对模板匹配任务至关重要的点；介绍基本和高级模板匹配技术，目标是灰度图像、形状和点集；从模板匹配的角度讨论最近的模式分类范例；说明真实人脸识别系统的开发；探索高级计算机图形技术在计算机视觉算法开发中的使用。计算机视觉中的模板匹配技术主要针对致力于开发有效对象识别系统的实践者，如生物识别、机器人导航、多媒体检索和地标检测。从事这些领域研究的研究生也很感兴趣。
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 digital image formation, highlighting points critical to the task of template matching; 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.