OpenCV (Open Source Computer Vision Library) is the project where our expertise in Computer Vision and algorithm design & optimization grew. Started at Intel back in 1998, the library became one of most popular tools in computer vision industry, and is also used in various university courses and research projects. The library reached 6,000,000 downloads in 2013.
Here is the brief list of what OpenCV can do: basic image processing (filtering, morphology, geometrical transformations, histograms, color space transformations), advanced image processing (like inpainting, watershed & meanshift segmentation etc.), contour processing and computational geometry, various feature detectors and descriptors (ranging from simple Harris detector to Hough transform, SURF, MSER etc.), object tracking, optical flow, object detection using cascades of boosted haar classifiers, camera calibration, machine learning tools (data clustering and statistical classifiers).
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