Learning OpenCV 3 Adrian Kaehler and Gary Bradski is an English-language study book aimed at professionals in computer vision. This reference work provides a thorough introduction to OpenCV and its application in various domains such as robotics, medical imaging, and face recognition.
This book covers the modern C++ implementation of OpenCV and includes more than 500 functions for image processing and machine learning. It provides practical explanations for capturing and editing images, pattern recognition, object tracking, and 3D reconstruction from stereo images. With hands-on exercises in every chapter, it is a valuable tool for developers, researchers, and hobbyists who want to delve into computer vision applications.
Topics covered include, among others, OpenCV data and array management, image transformations, and advanced machine learning methods. Learning OpenCV 3 is thematically aligned with fields such as artificial intelligence, pattern recognition, and professional computer vision applications.