Version 2.4.3 of Open Source Computer Vision Library
Release Notes: A universal "parallel_for" implementation was added for various backends. Many existing parallel OpenCV algorithms were converted to the new primitive. Android support was improved. iOS6 and iPhone5 compatibility was improved, with a new threading mechanism. New Python samples were added. Numerous improvements and new functionality additions were made in the GPU module. Bugs were fixed.
Other releases
Release Notes: A universal "parallel_for" implementation was added for various backends. Many existing parallel OpenCV algorithms were converted to the new primitive. Android support was improved. iOS6 and iPhone5 compatibility was improved, with a new threading mechanism. New Python samples were added. Numerous improvements and new functionality additions were made in the GPU module. Bugs were fixed.
Release Notes: Various performance optimizations have been made. GPU support has been enhanced with new Optical Flow algorithms, new feature detectors and descriptors, and overall GPU module enhancements. It now supports CUDA 4.1 and CUDA 4.2, and can be compiled with CUDA 5.0 preview. An enormous amount of new functionality has been added. Addition of new modules has been made much easier.
Release Notes: 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.
Release Notes: The library was reorganized into 12 smaller instead of 4 larger modules, while maintaining backward compatibility. An experimental CUDA acceleration module was added. Many improvements and enhancements were made. Bugs were fixed.
Release Notes: All of OpenCV now uses exceptions instead of the old libc-style mechanism. Parallel loops in OpenCV were converted from OpenMP to Intel TBB. SWIG-based Python bindings are no longer supported, in favor of the new interface. More complete support for 64-bit OSes was implemented, including HighGUI. Dynamic host CPU detection was implemented. The GrabCut image segmentation algorithm was added. A better stereo correspondence algorithm (SGBM) was added. The gstreamer backend was improved. For build, autotools were completely replaced by CMake. Tons of bug fixes and test enhancements were made.
