Optic Flow Calculation Using Robust Statistics
Abstract
A method for calculating optic flow, using robust statistics, is developed. The method generally out-performs all competing methods in terms of accuracy. One of the key features in the success of this method, is that we use least median of squares, which is known to be robust to outliers. The computational cost is kept very low by using an approximate solution to the least median of squares only in a first stage that detects outliers. The essential ingredients of our method should be applicable in a wide range of other computer vision problems.
Cite
Text
Bab-Hadiashar and Suter. "Optic Flow Calculation Using Robust Statistics." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609448Markdown
[Bab-Hadiashar and Suter. "Optic Flow Calculation Using Robust Statistics." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/babhadiashar1997cvpr-optic/) doi:10.1109/CVPR.1997.609448BibTeX
@inproceedings{babhadiashar1997cvpr-optic,
title = {{Optic Flow Calculation Using Robust Statistics}},
author = {Bab-Hadiashar, Alireza and Suter, David},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1997},
pages = {988-993},
doi = {10.1109/CVPR.1997.609448},
url = {https://mlanthology.org/cvpr/1997/babhadiashar1997cvpr-optic/}
}