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[学习OpenCV 3][Learning OpenCV 3 - Computer Vision in C++ with the OpenCV Library, 2016][PDF格式][英文版]

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文件名:	ZiJingBT.O'Reilly, Learning OpenCV 3,2016.torrent
种子名称:	O'Reilly, Learning OpenCV 3,2016.pdf
信息:	大小: 42.56 MB | 文件数: 1 | Info Hash: 3228152ac4a64f038d4e472c1491357427386723
类别:	学习 | 由 吴旭东 (广大站友) 上传于 2016-12-23 16:02:37
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内容简介:	引用: 继2008年第1版"Learning OpenCV, O'Reilly, 2008"，时隔8年，终于出了面向OpenCV 2.x和OpenCV 3.x版本的"Learning OpenCV 3, O'Reilly, 2016.12"，总页数1018页. 封面截图 OpenCV Timeline 1、介绍 Learning OpenCV 3 Computer Vision in C++ with the OpenCV Library By Adrian Kaehler, Gary Bradski Publisher: O'Reilly Media Final Release Date: December 2016 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. 1、Learn OpenCV data types, array types, and array operations 2、Capture and store still and video images with HighGUI 3、Transform images to stretch, shrink, warp, remap, and repair 4、Explore pattern recognition, including face detection 5、Track objects and motion through the visual field 6、Reconstruct 3D images from stereo vision 7、Discover basic and advanced machine learning techniques in OpenCV 2、截图 3、版权声明 此英文版电子书版权归原出版商所有，此电子版仅限于学习交流，禁止用于商业用途。
感谢者:	todx, Galois000, 葛荣存, liukunaa22, justintimberlake, Hsinchu, wangzhi, 许黎之, jasonmraz, 风卷残云, qf129, fonepiece, 七宝, CheshireCat, lijun, 131010033, gaomengrui, 张扬, 冰墨魂 (已有 19 人表达了感谢)

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