期刊文献+

一种基于图割的快速立体匹配方法 被引量:3

A Fast Stereo Matching Method Based on Graph Cuts
下载PDF
导出
摘要 针对图割算法中引入辅助节点,算法复杂度过高的问题,提出了一种无需引入辅助节点的图构造方法来解决立体匹配问题.由于无需引入辅助节点,所构造出的图所需空间较小,同时可以更快地找到能量函数的最小值.实验结果表明,该方法可以快速有效地得到立体匹配的结果. In this paper,a new algorithm based on graph cuts to solve stereo matching problem is proposed.In the algorithm,the constructed graph for minimizing the energy function does not use any auxiliary nodes,therefore smaller graph can be constructed efficiently and the minimum cut can be computed faster.Experimental results demonstrated that satisfactory results can be computed efficiently by the proposed method.
作者 裴明涛 刘鹏
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2009年第3期229-232,共4页 Transactions of Beijing Institute of Technology
基金 国家"八六三"计划项目(2002AA735051) 北京市重点学科基金资助项目
关键词 立体匹配 图割 能量函数 stereo matching graph cut energy function
  • 相关文献

参考文献6

  • 1Ishikawa H, Geier D. Occlusion, discontinuities and epipolar lines in stereo[C]//Proceedings of the 5th European Conference on Computer Vision. Freiburg, Germany: Springer Press, 1998:242 - 256.
  • 2Sun J, Shum H Y. Stereo matching using belief propagation[C]// Proceedings of the 7th European Conference on Computer Vision. Copenhagen, Denmark Springer Press, 2002:510 - 524.
  • 3Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. International Journal on Computer Vision, 2002,47 ( 1 ) : 7 -42.
  • 4Boykov Y, Kolmogorov V. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004,26(9):1124 - 1137.
  • 5Boykov Y, Veksler O. Fast approximate energy minimization via graph cuts[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2001,23(11):1222-1239.
  • 6Kolmogorov V, Zabih R. What energy functions can be minimized via graph cuts[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004,26(2):147 -159.

同被引文献38

  • 1彭启民,贾云得.一种基于最小割的稠密视差图恢复算法[J].软件学报,2005,16(6):1090-1095. 被引量:7
  • 2王年,范益政,鲍文霞,韦穗,梁栋.基于图割的图像匹配算法[J].电子学报,2006,34(2):232-236. 被引量:27
  • 3Szeliski R,Zabih R,Scharstein D,et al.A comparative study of energy minimization methods for markov random fields with smoothness-based priors[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2008,30 (6):1068-1080.
  • 4Ford L,Fulkerson D.Flows in Networks[M].New Jersey:Princeton University Press,1962.
  • 5Boykov Y,Veksler O,Zabih R.Fast approximate energy minimization via graph cuts[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(11):1222-1239.
  • 6Boykov Y,Kolmogorov V.An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(9):1124-1137.
  • 7Boykov Y Y,Jolly M.Interactive graph cut for optimal boundary & region segmentation of objects in N-D images[C].Proceedings of Internation Conference on Computer Vision.Vancouver,Canada:IEEE Computer Society,2001,Ⅰ:105-112.
  • 8Goldberg A V,Tarjan R E.A new approach to the maximum-flow problem[J].Journal of the Association for Computing Machinery,1988,35(4):921-940.
  • 9Greig D,Porteous B,Seheult A.Exact maximum a posteriori estimation for binary images[J].J.Royal Statistical Soc.,Series B,1989,51(2):271-279.
  • 10Roy S,Cox I.A maximum-flow formulation of the n-camera stereo correspondence problem[C].Proc.of Int.Conference on Computer Vision.Bombay,India..IEEE Computer Society,1998:492-499.

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部