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  • 标题:An Analysis and Speedup of the FALDOI Method for Optical Flow Estimation
  • 本地全文:下载
  • 作者:Ferran P. Gamonal ; Coloma Ballester ; Gloria Haro
  • 期刊名称:Image Processing On Line
  • 电子版ISSN:2105-1232
  • 出版年度:2019
  • 卷号:9
  • 页码:94-123
  • DOI:10.5201/ipol.2019.238
  • 出版社:Image Processing On Line
  • 摘要:

    We present a detailed analysis of FALDOI, a large displacement optical flow method proposed by P.Palomares et al. This method requires a set of discrete matches, which can be extremely sparse, and an energy functional which locally guides the interpolation from the matches. It follows a two-step minimization method at the finest scale which is very robust to the outliers of the sparse matcher and can capture large displacements of small objects. The results shown in the original paper consistently outperformed the coarse-to-fine approaches and achieved good qualitative and quantitative performance on the standard optical flow benchmarks. In this paper we revise the proposed method and the changes done to significantly reduce its execution time while reporting nearly the same accuracy. Finally, we also compare it against the current state-of-the-art to assess its performance.

  • 关键词:optical flow; variational methods; coordinate descent methods; sparse matches;; parallelization
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