The OpenVIDIA project implements computer vision algorithms on computer graphics hardware, using OpenGL and Cg. The project provides useful example programs which run real time computer vision algorithms on single or parallel graphics processing units(GPU).

openVIDIA allows for unprecedented high-performance computer vision by harnessing the power of multiple GPUs to process images in parallel. This allows for the creation of a cheap, powerful, and easily constructed parallel architecture well suited for pattern recognition and computer vision.

openVIDIA allows processor intensive computer vision to be offloaded to the GPU.This includes the following vision algorithms performed in real-time:
Canny Edge Detection
Corner Tracking
Feature based Corner Tracking
Skin Tone Tracking
Color Object Tracking
Contrast/Brightness Image Enhancement
Video Orbits Image Compositing Algorithm