Whats new in version 2.4.7:
- now 'ocl' module can be built without installing OpenCL SDK (Khronos headers in OpenCV tree)
- dynamic dependency on OpenCL runtime (allows run-time branching between OCL and non-OCL implementation)
- changing default OpenCL device via OPENCV_OPENCL_DEVICE environment variable (without app re-build)
- refactoring/extending/bug-fixing of existing OpenCL optimizations, updated documentation
- new OpenCL optimizations of SVM, MOG/MOG2, KalmanFilter and more
- new optimization for histograms, TV-L1 optical flow and resize
- updated multi gpu sample for stereo matching
- fixed BGRYUV color conversion and bitwize operations
- fixed several build issues
- Android NDK-r9 (x86, x86_64) support;
- Android 4.3 support: hardware detector (Bugs #3124, #3265, #3270) and native camera (Bug #3185);
- MediaRecorder hint enabled for all Android devices with API level 14 and above;
- Fixed JavaCameraView slowdown (Bugs #3033, #3238);
- Fixed MS Certification test issues for all algorithmical modules and highgui, except OpenEXR ...
Publisher review:OpenCV is an Open Source Computer Vision Library that has more than 2500 algorithms, extensive documentation and sample code for real-time computer vision. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc.
Being built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products, it makes it easy for businesses to utilize and modify the code.
Operating system:Mac OS X
OpenCV 2.4.7 details 
