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Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski, Adrian Kaehler

Learning OpenCV: Computer Vision with the OpenCV Library Gary Bradski, Adrian Kaehler ebook
Page: 571
Publisher: O'Reilly Media
ISBN: 0596516134, 9780596516130
Format: pdf

Because computer vision and machine learning go hand-in- hand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL). Learning Opencv: Computer Vision in C++ With the Opencv Library. OpenCV is an open source computer vision library developed in C and C++. We tried to learn about the basic concepts of computer vision, image analysis and had to go through an extensive set of frameworks to evaluate which fits our needs. I recently read this comparison of four vision libraries: OpenCV, VXL, LTI and OpenCV with IPP. Learning Opencv: Computer Vision in C++ With the Opencv Library Gary R. Initially our project requirement was to detect/recognize human facial structure but We also took help from another project that uses OpenCV library to detect objects using 'Boosted Histograms' method, its called objectdet. We will write programs that take images as input and manipulate them to meet the desired ends, and in the process learn about certain basic techniques associated with digital image processing. Sinopse/Descrição: Learning OpenCV´ puts the reader in the middle of the field of computer vision. This sublibrary is focused on statistical pattern recognition and clustering. It is optimized and intended for real-time applications.