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A parallel algorithm for surface extraction with higher-order smoothness

  • LI Wen ,
  • GUO Li ,
  • YUAN Hong-Xing ,
  • GUAN Hua
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  • Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China

Received date: 2010-09-30

  Revised date: 2011-04-02

  Online published: 2012-03-15

Abstract

Considering the problems(complicated computation and huge data) of SEBVHOS(surface extraction from binary volumes with high-order smoothness), we propose a parallel algorithm to accelerate the SEBVHOS execution. Firstly, SEBVHOS is parallelized. Secondly, optimization techniques are applied to improve performance of the algorithm. Meanwhile, matrix compression is applied to improve performance of memory space. Experiments show that the average speed-up ratio achieves 1.87 in a dual-core system.

Cite this article

LI Wen , GUO Li , YUAN Hong-Xing , GUAN Hua . A parallel algorithm for surface extraction with higher-order smoothness[J]. Journal of University of Chinese Academy of Sciences, 2012 , (2) : 251 -256 . DOI: 10.7523/j.issn.2095-6134.2012.2.016

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