Preface In today's digital world, images and videos are everywhere, and with the advent of powerful and affordable computing devices, it has never been easier to create sophisticated imaging applications. Plentiful software tools and libraries manipulating images and videos are offered, but for anyone who wishes to develop his/her own applications, the OpenCV library is the tool to use. OpenCV (Open Source Computer Vision) is an open source library containing more than 500 optimized algorithms for image and video analysis. Since its introduction in 1999, it has been largely adopted as the primary development tool by the community of researchers and developers in computer vision. OpenCV was originally developed at Intel by a team led by Gary Bradski as an initiative to advance research in vision and promote the development of rich, vision-based CPU-intensive applications. After a series of beta releases, version 1.0 was launched in 2006. A second major
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