GpuCV: An OpenSource GPU-Accelerated Framework for Image Processing and Computer Vision

Yannick Allusse, Patrick Horain, Ankit Agarwal, and Cindula Saipriyadarshan

Publication reference:

Y. Allusse, P. Horain, A. Agarwal, C. Saipriyadarshan, "GpuCV: An OpenSource GPU-Accelerated Framework for Image Processing and Computer Vision", to be published in the Proceedings of the Open Source Software Competition, ACM International Conference on Multimedia, Vancouver, BC, Canada, October 27 – 31, 2008, pp. 1089-1092 [doi:10.1145/1459359.1459578].


This paper presents GpuCV, an open source multi-platform library for easily developing GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. It is designed to be compatible with Intel's OpenCV library by offering GPU-accelerated operators that can be integrated into native OpenCV applications. The GpuCV framework transparently manages hardware capabilities, data synchronization, activation of low level GLSL and CUDA programs, on-the-fly benchmarking and switching to the most efficient implementation and finally offers a set of image processing operators with GPU acceleration available.

Full text:

© ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in MM '08. ACM, 2008. DOI=10.1145/1459359.1459578.
PDF (115 kbytes).