Volume 37 Issue 7
Jul.  2012
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XIAO Han, ZHOU Qinglei, ZHANG Zuxun. Parallel Algorithm of Harris Corner Detection Based on Multi-GPU[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 876-881.
Citation: XIAO Han, ZHOU Qinglei, ZHANG Zuxun. Parallel Algorithm of Harris Corner Detection Based on Multi-GPU[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 876-881.
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Parallel Algorithm of Harris Corner Detection Based on Multi-GPU

  • 1 School of Information Engineering,Zhengzhou University,100 Science Road,Zhengzhou 450001,China;2 School of Information Science and Technology,Zhengzhou Normal University, 6 Yingcai Street,Zhengzhou 450044,China;3 School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(41071233);;国家863计划资助项目(2009AA122002);;中国博士后科学基金资助项目(2012M510110);;河南省高等学校青年骨干教师资助项目(2009GGJS-167)
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  • Received Date: April 27, 2012
  • Published Date: July 04, 2012
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    • Abstract
  • Parallel algorithm of Harris corner detection based on the core concept of Multi-GPU is proposed,so that time-consuming Gaussian image convolution filtering part during the whole image corner detection process can be implemented by many parallel threads.Finally,implementation of this SIMT parallel algorithm using GPU mechanism of shared memory and constant memory and pinned host memory in CUDA is detailed.The Experiments show that the parallel algorithm of Harris corner detection based on Multi-GPU demonstrates substantial improvement up to 60 times speedup than the serial algorithm running in the CPU,is with high efficiency compared with CPU counterpart algorithm,and show great potential for large-scale data processing in real-time processing.
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