Chapter 1. Introduction
The topics in this book were handpicked to showcase the developments we consider to be exciting and promising in computer vision. They are a mix of more well-known and traditional topics (such as camera calibration, multiview geometry, and face detection) and newer ones (such as vision for special effects and tensor voting framework). All have the common denominator of either demonstrated longevity or potential for endurance in computer vision.
The book is designed to accompany computer vision textbooks. Each chapter is self-contained and is written by well-known authorities in the area. The book is organized into three parts, covering various fundamentals, applications, and programming aspects of computer vision.
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