A MRF Approach to Optical Flow Estimation

Vlontzos, John A.; Geiger, Davi

doi:10.1109/CVPR.1992.223240

A MRF Approach to Optical Flow Estimation

John A. Vlontzos, Davi Geiger

CVPR 1992 pp. 853-856

doi:10.1109/CVPR.1992.223240 /cvpr/1992/vlontzos1992cvpr-mrf/

Abstract

A Markov random field (MRF) formulation for the problem of optical flow computation is studied. An adaptive window matching scheme is used to obtain a good measure of the correlation between the two images. A confidence measure for each match is also used. Thus, the input to the system is the adaptive correlation and the corresponding confidence. The MRF model is then used to estimate the velocity field and the velocity discontinuities. The problem of occlusions is addressed, and a relationship between occlusions and motion discontinuities is established.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

CVPR Semantic Scholar

Cite

Text

Vlontzos and Geiger. "A MRF Approach to Optical Flow Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223240

Markdown

[Vlontzos and Geiger. "A MRF Approach to Optical Flow Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/vlontzos1992cvpr-mrf/) doi:10.1109/CVPR.1992.223240

BibTeX

@inproceedings{vlontzos1992cvpr-mrf,
  title     = {{A MRF Approach to Optical Flow Estimation}},
  author    = {Vlontzos, John A. and Geiger, Davi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {853-856},
  doi       = {10.1109/CVPR.1992.223240},
  url       = {https://mlanthology.org/cvpr/1992/vlontzos1992cvpr-mrf/}
}