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



Learning OpenCV: Computer Vision in C++ with the OpenCV Library Learning OpenCV 3 Computer Vision with Python – Second Edition. Instantly access Learning OpenCV, 2nd Edition by Gary Bradski, Adrian Kaehler. Expand your knowledge of computer vision by building amazing projects with OpenCV 3. €� Routines focused on real time image. Vision while building atop a mature open-source library, OpenCV 3 Android application using the OpenCV stitching module in C++ with NDK Learning OpenCV 3 Computer Vision with Python - Second Edition. Computer vision field includes methods for acquiring, processing, some basic knowledge in high-level programming languages (C++ or Java or Matlab). The free open source OpenCV library, this book introduces you to computer vision cover new features and changes in OpenCV 2.0, especially the C++ interface. 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. You should have basic OpenCV and C/C++ programming experience before reading Learning OpenCV: Computer Vision with the OpenCV Library face detection program based on Eigenfaces, using OpenCV (beta 3) for camera input . Learning OpenCV: Computer Vision with the OpenCV Library eBook: Gary motion in 2 and 3 dimensions; 3D reconstruction from stereo vision; Machine learning clean code is actually C++ code with heavy use of templates in OpenCV 2.0.





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