Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library. Adrian Kaehler, Gary Bradski

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


Learning.OpenCV.3.Computer.Vision.in.C.with.the.OpenCV.Library.pdf
ISBN: 9781491937990 | 575 pages | 15 Mb


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



Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library Adrian Kaehler, Gary Bradski
Publisher: O'Reilly Media, Incorporated



In 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms. "Learning OpenCV 3.0" puts you in the middle of the expanding field of computer vision. Learning OpenCV: Computer Vision in C++ with the OpenCV Library (Early Release), 2nd Edition. C++ and Python will be covered here. Find helpful customer reviews and review ratings for Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library at Amazon.com. OpenCV is released under a BSD license and hence it's free for both academic and commercial use. Learning OpenCV: Computer Vision with the OpenCV Library by Gary R. Amazon.co.jp： Learning Opencv 3: Computer Vision in C++ With the Opencv Library: Adrian Kaehler, Gary Bradski: 洋書. Learning OpenCV: Computer Vision in C++ with the OpenCV Library in 2 and 3 dimensions; 3D reconstruction from stereo vision; Machine learning algorithms. Written in optimized C/C++, the library can take advantage of multi-core processing. Current, Software Engineer | Computer Vision / openCV / C++ at UBC Traffic Intelligence Researcher at Universidad Carlos III Madrid, Researcher at Applied Optics at LISTIC - Polytech'Savoie, OpenCV library contributor at OpenCV library, LISTIC lab at. Learning OpenCV, the image of a giant peacock moth, and related Page 3 puter vision tools contained in the OpenCV library. Learning OpenCV: Computer Vision in C++ with the OpenCV Library: 2 and 3 dimensions * 3D reconstruction from stereo vision * Machine learning algorithms. Learning OpenCV 3.0puts you in the middle of the expanding field of computer vision. Learning OpenCV 3.0 puts you in the middle of the expanding field of computer vision. The third major release of OpenCV is aimed at building solid ground for computer vision development. Code at https://github.com/pokeefe/RGBDTutorial-CVPR2014 a best seller in its category Learning OpenCV: Computer Vision with the OpenCV Library, O'Reilly Press. For the most part, readers need only know how to program in C and perhaps some C++. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. New features and changes in OpenCV 2.0, especially the C++ interface.





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