CEVA announced that it has enriched its CEVA-CV computer vision real-time library to include more than 750 functions. New functions added in the latest CEVA-CV release include feature detection kernels and object recognition algorithms such as Harris Corner, Hough Transform, Integral Sum, Fast, LBP, SURF, HOG, SVM, and ORB detection and matching. CEVA-CV now also includes kernels required by The Khronos Group’s OpenVX 1.0 specification, which is set to become the key standard for cross-platform acceleration of computer vision applications and libraries.