From OpenVIDIA

OpenVIDIA: Parallel GPU Computer Vision

Recent News

• 2009-09-30 to 2009-10-02 Computer Vision is featured prominently at the GPU Technology Conference (GTC)
  • Guide to Image Processing & Vision Talks
• 2009-09-15 Introduction to Programming Direct Compute added.
• 2009-09-09 Updated Resources/Papers Section
• 2009-08-14 NVIDIA sponsoring the Bay Area Vision Meeting 2009
• 2009-08-05 Advances in GPU-based Image Processing and Computer Vision (talk slides), NVIDIA Corporation
• 2008-01-04 OpenVIDIA in Vision Systems Magazine GPUs Battle for Imaging Applications
  Vision systems magazine has an article on GPU Computer Vision, and discusses OpenVIDIA.

What is OpenVIDIA?

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

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.

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.

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 http://openvidia.sf.net/OLD-SITE-BACKUP)

Downloads (2-22-2009)

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.