【C++】 Learning OpenCV 3 : Computer Vision in C++ with the OpenCV Library (2017

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Learning OpenCV 3
Computer Vision in C++ with the OpenCV Library

By Adrian Kaehler, Gary Bradski



Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You’ll learn what it takes to build applications that enable computers to "see" and make decisions based on that data.

With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned.

This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision.

• Learn OpenCV data types, array types, and array operations
• Capture and store still and video images with HighGUI
• Transform images to stretch, shrink, warp, remap, and repair
• Explore pattern recognition, including face detection
• Track objects and motion through the visual field
• Reconstruct 3D images from stereo vision
• Discover basic and advanced machine learning techniques in OpenCV

目录截图：













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关键词：Computer Learning Library compute earning academics computers practical provides library

支持，顶！

nice book

支持，顶！

好书，可惜没下载点

非常好的书，等了好久。。。

谢谢分享了。