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小位移光流计算的对偶方法 被引量:2

Dual Method for Small Displacement Optic Flow Computation
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摘要 基于光流计算的通用变分模型,建立小位移光流场计算的对偶方法。变分能量泛函中的数据项使用稳健估计的L1范数,规则项采用边缘保持的总变差项。采用对偶变量表示总变差项,克服基于传统总变差计算须引入小规则参数的问题,并得到较好的实验结果。该方法可应用到大位移光流计算和光流计算的高阶模型中。 Dual method is presented for small optic flow computation based on variational models. Robust estimation form of Ll norm is used in data terms and the regularized terms use total variation of optic flows with edge preserving property. The dual variables for total variation terms avoid using small regularized parameters in classic total variation terms and get good results. This method can be extended to computation of large displacement optical flow and higher order models.
出处 《计算机工程》 CAS CSCD 北大核心 2010年第7期260-261,264,共3页 Computer Engineering
基金 教育部新世纪优秀人才支持计划基金资助项目(NCET-05-0601)
关键词 光流计算 对偶方法 变分方法 总变差 optic flow computation dual method variational method total variation
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参考文献7

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同被引文献21

  • 1段先华,王元全,王平安,夏德深.利用Gabor滤波的相位图像进行光流估计[J].计算机辅助设计与图形学学报,2005,17(10):2157-2161. 被引量:5
  • 2PAN ZH K, LI H, WEI W B. A variational level set method for muhiphase object detection[ C ]. Advances in Visual Computing, ISVC2008, Las Vegas, 2008: 733 -742.
  • 3HORN B, SCHUNCK B. Determining optical flow[ J]. Artificial Intelligence, 1981,17 : 185-203.
  • 4WEICKERT J, BRUHN A, BROX T, et al. A survey on variational optic flow methods for small displacements [ M ]. Berlin : Springer, Mathematics in Industry, 2006, 10: 103-136.
  • 5BARRON J L, FLEET D J, BEAUCHEMIN S S. Per- formance of optical flow techniques [ J ]. International Journal of Computer Vision, February 1994, 12 ( 1 ) : 43 -77.
  • 6BRUHN A. Variational optic flow computation: accurate modeling and efficient numerics [ D1. Saarbriieken: Saar- land University, 2006.
  • 7CHAMBOLLE A. An algorithm for total variation minimi- zation and applications [ J ]. Mathematical Imaging and Vision, 2004,20 : 89-97.
  • 8ZACH C, POCK T, BISCHOF H. A duality based ap- proach for real-time TV-L1 optical flow [ C ]. DAGM 2007, LNCS 4713,2007 : 214-223.
  • 9GOLDSTEIN T,OSHER S. The split Bregman method for LI regularized, problems[ R]. UCLA CAM, 08-29,2008.
  • 10LI Y, OSHER S. A new median formula with applica- tions to PDE based denoising [ R]. UCLA CAM 08- 73, 2008.

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