A Framework for the Robust Estimation of Optical Flow

ICCV 1993 pp. 231-236

doi:10.1109/ICCV.1993.378214 /iccv/1993/black1993iccv-framework/

Abstract

The authors consider the problem of robustly estimating optical flow from a pair of images using a new framework based on robust estimation which addresses violations of the brightness constancy and spatial smoothness assumptions. They also show the relationship between the robust estimation framework and line-process approaches for coping with spatial discontinuities. In doing so, the notion of a line process is generalized to that of an outlier process that can account for violations in both the brightness and smoothness assumptions. A graduated non-convexity algorithm is presented for recovering optical flow and motion discontinuities. The performance of the robust formulation is demonstrated on both synthetic data and natural images.<<ETX>>

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Text

Black and Anandan. "A Framework for the Robust Estimation of Optical Flow." IEEE/CVF International Conference on Computer Vision, 1993. doi:10.1109/ICCV.1993.378214

Markdown

[Black and Anandan. "A Framework for the Robust Estimation of Optical Flow." IEEE/CVF International Conference on Computer Vision, 1993.](https://mlanthology.org/iccv/1993/black1993iccv-framework/) doi:10.1109/ICCV.1993.378214

BibTeX

@inproceedings{black1993iccv-framework,
  title     = {{A Framework for the Robust Estimation of Optical Flow}},
  author    = {Black, Michael J. and Anandan, P.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1993},
  pages     = {231-236},
  doi       = {10.1109/ICCV.1993.378214},
  url       = {https://mlanthology.org/iccv/1993/black1993iccv-framework/}
}