The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel Image Processing Library) and utilizes Intel Integrated Performance Primitives for better performance. Changes: Many functions and methods now take InputArray/OutputArray instead of "cv::Mat" references. LAPACK was replaced by an implementation of Jacobi SVD, decreasing footprint and compile time, and improving performance and accuracy. New BRIEF and ORB feature descriptors were added. A new calibration pattern "circles grid" was added. A new experimental variational stereo correspondence algorithm StereoVar was added. Support for Ximea cameras was added. Python modules were enhanced. Various other enhancements were made. Documentation was improved. Many bugs were fixed.