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. 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.

圖像中物體的檢測和識別是計算機視覺界的一個重要研究主題。在這個領域中，由於揭示人類感知機制的可能性以及實用生物識別系統的發展，人臉識別和解釋引起了越來越多的關注。本書及其附帶的網站專注於模板匹配，這是一種廣泛應用的物體識別技術子集，對於人臉識別應用尤其有效。本書通過使用人臉處理任務的示例來說明更一般的物體識別方法，Roberto Brunelli:

• 探討了數字圖像形成的基礎，突出了模板匹配任務關鍵點；
  


• 介紹了基本和高級的模板匹配技術，針對灰度圖像、形狀和點集；
  


• 從模板匹配的角度討論了最近的模式分類範式；
  


• 演示了一個真實人臉識別系統的開發；
  


• 探索了在計算機視覺算法開發中使用高級計算機圖形技術的應用。
  

《計算機視覺中的模板匹配技術》主要針對從事有效物體識別系統開發的從業人員，如生物識別、機器人導航、多媒體檢索和地標檢測。對於從事這些領域研究的研究生也具有興趣。