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

Published:26 October 2008Publication History

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.

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  3. M. Harris. Sc07 - high performance computing with cuda - optimizing cuda. http://www.gpgpu.org/sc2007/SC07_CUDA_5_Optimization_Harr2007.Google ScholarGoogle Scholar
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  5. NVIDIA. Cuda (compute unified device architecture). http://www.nvidia.com/object/cuda home.html, 2006.Google ScholarGoogle Scholar

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

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    • Published in

      cover image ACM Conferences
      MM '08: Proceedings of the 16th ACM international conference on Multimedia
      October 2008
      1206 pages
      ISBN:9781605583037
      DOI:10.1145/1459359

      Copyright © 2008 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 October 2008

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