GpuCV: an opensource GPU-accelerated framework forimage processing and computer vision

Authors:
Yannick Allusse;Patrick Horain;Ankit Agarwal;Cindula Saipriyadarshan
Affiliations:
Telecom & Management SudParis, Evry, France;Telecom & Management SudParis, Evry, France;Telecom & Management SudParis, Evry, France;Telecom & Management SudParis, Evry, France
Venue:
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Year:
2008

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Abstract

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.