OpenVIDIA: parallel GPU computer vision

Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). In this paper, we propose using GPUs in approximately the reverse way: to assist in “converting pictures into numbers” (i.e. computer vision). The OpenVIDIA project uses single or multiple graphics cards to accelerate image analysis and computer vision. It is a library and API aimed at providing a graphics hardware accelerated processing framework for image processing and computer vision. OpenVIDIA explores the creation of a parallel computer architecture consisting of multiple Graphics Processing Units (GPUs) built entirely from commodity hardware. OpenVIDIA uses multiple Graphics Processing Units in parallel to operate as a general-purpose parallel computer architecture. It provides a simple API which implements some common computer vision algorithms. Many components can be used immediately and because t...

• Type: Conference
• Year: 2005
• Where: MM
• Authors: James Fung, Steve Mann
• Keywords: Computer, Computer Vision, Graphics Processing Units, MM 2005