Advanced Computer Vision Applications with OpenCV and Python
This guide provides a comprehensive approach to developing sophisticated computer vision projects utilizing the OpenCV library in conjunction with the Python programming language. It encompasses practical, end-to-end projects addressing significant computer vision challenges, with each project accompanied by a detailed, step-by-step implementation guide. The content delves into techniques such as real-time visual effect generation using various filters and image manipulation methods, including dodging and burning. Furthermore, it explores real-time hand gesture recognition and hand-shape analysis leveraging the output from a Microsoft Kinect sensor. The guide also covers feature extraction and matching for tracking user-defined objects of interest. Prior familiarity with OpenCV concepts and Python libraries is assumed.
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