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OpenVIDIA: Parallel GPU Computer Vision


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--time computer vision and imaging much faster than the CPU is capable of, while offloading the CPU to 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.

Your contributions and sugggestions are welcome !
Contact the OpenVIDIA admins if you have something to add or say...

email James Fung
email John Roberts

(Looking for the old site? Its at

Downloads (6-27-2010)

Currently OpenVIDIA consists of CVWB (Computer Vision Workbench), a Windows application that runs common image processing routines. Additionally, there are a few "cores" containing algorithms below.

CUDA VisionWorkbench 32
( for 32 bit Windows)
Install Now

CUDA VisionWorkbench 64
( for 64 bit Windows)
Install Now

CUDA VisionWorkbench
Get Code//Doc Package
Get Description (.pdf file)
Get Benchmarks (.pdf file)

Uses CUDA 3.1 recommended driver >= 257.21

CUDA Stereo Imaging
(Authors: Joe Stam (NVIDIA), D. Gallup and J. M. Frahm (UNC) )
Download Now PDF

CUDA Optical Flow
(Author: Daniel Cabrini Hauagge)
Download Now
Source and Win32 Binary available.
License: GPL v2

This page was last modified on 24 October 2012, at 23:39. This page has been accessed 439,009 times.