What is OpenVIDIA?
OpenVIDIA projects implement computer vision algorithms running on on graphics hardware such as single or multiple graphics processing units(GPUs) using OpenGL, Cg and CUDA-C. Some samples will soon support OpenCL and Direct Compute API's also.
An active project within OpenVida, CVWB (CUDA Vision Workbench) includes a back-end DLL and front-end Windows application that run common image processing routines in a framework convenient for interactive experimentation. Additional OpenVidia projects for Stereo Vision, Optical Flow and Feature Tracking algorithms are detailed below.
OpenVIDIA projects utilize the computational power of the GPU to provide real--timecomputer vision and imaging much faster than the CPU is capable of, while offloading the CPUto allow it to conduct concurrent tasks and also using less power.
This project was founded at the Eyetap Personal Imaging Lab (ePi Lab) at the Electrical and Computer Engineering Group at the University of Toronto. It has been expanded to include contributions from many sources in academia and industry.
OpenVIDIA项目利用GPU的强大算力实现比CPU更快的实时计算机视觉与图像处理。该项目包含多个子模块如CVWB(CUDA Vision Workbench),提供交互式实验框架。此外还涉及立体视觉、光流及特征跟踪等算法。

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