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文章基本信息

  • 标题:TV-L1 Optical Flow Estimation
  • 本地全文:下载
  • 作者:Javier Sánchez Pérez ; Enric Meinhardt-Llopis ; Gabriele Facciolo
  • 期刊名称:Image Processing On Line
  • 电子版ISSN:2105-1232
  • 出版年度:2013
  • 卷号:3
  • 页码:137-150
  • DOI:10.5201/ipol.2013.26
  • 出版社:Image Processing On Line
  • 摘要:

    This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof in 2007. This method is based on the minimization of a functional containing a data term using the L1 norm and a regularization term using the total variation of the flow. The main feature of this formulation is that it allows discontinuities in the flow field, while being more robust to noise than the classical approach of Horn and Schunck. The algorithm is an efficient numerical scheme, which solves a relaxed version of the problem by alternate minimization.

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