OpenCV 2.2 Released

OpenCV 2.2 has been released. Major highlights include:

• Reorganization into several, smaller modules to better separate different OpenCV functionality, as well as experimental vs. stable code.
• A new (alpha) GPU acceleration module, created with the support of NVidia
• Android support by Ethan Rublee.
• New features2d unified framework for keypoint extraction, computing the descriptors and matching them.
• LatentSVM object detector, contributed by Nizhniy Novgorod State University (NNSU) team.
• Gradient boosting trees model has been contributed by NNSU team.
• Experimental Qt backend for highgui by Yannick Verdie. (docs).
• Chamfer matching algorithm has been contributed by Marius Muja, Antonella Cascitelli, Marco Di Stefano and Stefano Fabri. See samples/cpp/chamfer.cpp.
• A lot more of OpenCV 2.x functionality is now covered by Python bindings. These new wrappers require numpy to be installed.
• Over 300 issues have been resolved. Most of the issues (closed and still open) are listed at https://code.ros.org/trac/opencv/report/6.

For more information, please see the complete change log.