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Learning OpenCV: Computer Vision with the OpenCV Library Gary Bradski, Adrian Kaehler
Publisher: O'Reilly Media

You can read sample book from HERE. Sinopse/Descrição: Learning OpenCV´ puts the reader in the middle of the field of computer vision. OpenCV 2 Computer Vision Application Programming Cookbook - Robert Laganière. Free download ebook Learning OpenCV: Computer Vision in C with the OpenCV Library pdf. O'Reilly Press: Learning OpenCV: Computer Vision with the OpenCV Library, Gary Bradski and Adrian Kaehler. OpenCV (Open Source Computer Vision Library: http://opencv.willowgarage.com/wiki/) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. OpenCV 2 Computer Vision Application Programming Cookbook by robert laganiere. "Learning OpenCV: Computer Vision with the OpenCV Library" by Gary Bradski and Adrian Kaehler. Because computer vision and machine learning go hand-in- hand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL). This sublibrary is focused on statistical pattern recognition and clustering. This is considered to be the best book on OpenCV written by founder of OpenCV himself. Learn software development, computer vision, and A.I. Title : Learning OpenCV: Computer Vision in C++ with the OpenCV Library. OpenCV is a very famous open library support image processing. 6.参考书目：《Mastering OpenCV with Practical Computer Vision Projects》 《OpenCV.2.Computer.Vision.Application.Programming.Cookbook》 《Learning.OpenCV》. When using Learning OpenCV - Gary Bradski and Adrian Kaehler 2. Home · About · Resources · Newsletter · Wishlist · Contact Us · Login · Augmented Reality Tests with Since I've already written several computer vision apps that can detect and track objects, I would like to test my skills at automating some video games by using OpenCV for the processing. Gary started the Open Source Computer Vision Library (OpenCV http://sourceforge.net/projects/opencvlibrary/ ), the statistical Machine Learning Library (MLL comes with OpenCV), and the Probabilistic Network Library (PNL).