Intel’s open-source programming function computer vision library OpenCV has released the first stable version in its 4.0 line. Release highlights list the dnn module now includes experimental Vulkan backend, and the popular Kinect Fusion algorithm has been implemented and optimized for CPU and GPU using OpenCL.
With the APP SDK 2.9 release and OpenCV 2.4.7 just around the corner, OpenCL is picking up even more momentum and making OpenCV even more attractive. OpenCV 2.4.7 expands the already significant capabilities of OpenCL, inside OpenCV. A very noteworthy addition is expanding the OpenCL implementation into the Machine Learning module, accelerating in OpenCL the Support Vector Machine functionality, and opening the door to multiple recognition and classification tasks. During the OpenCV session at APU13, AMD will go over in more detail the various developments and enhancements in OpenCV.
The Khronos Group announced a new initiative to create an open, royalty-free standard for cross platform acceleration of computer vision applications. In response to requests and proposals from members, Khronos has created a vision working group to develop a hardware acceleration API using the proven Khronos development process and aiming for a first public release within 12 months. Any interested company is welcome to join Khronos to make contributions, influence the direction of the specification and gain early access to draft specifications before public release. The vision working group will commence work during January 2012.