Computation of Normal Velocity from Local Phase Information
Abstract
A technique for the estimation of 2-D normal velocity is presented. The image sequence is first represented by a family of velocity-tuned linear filters. Normal velocity, in the individual filter outputs, is expressed as the local first-order behavior of surfaces of constant phase. Justification for this is discussed, and it is shown to provide an effective basis for the local computation of normal velocity. The resultant approach is local in space-time. It permits multiple velocity estimates within a single neighborhood, and it yields accurate velocity estimates that are robust with respect to noise and perspective deformation.<<ETX>>
Cite
Text
Fleet and Jepson. "Computation of Normal Velocity from Local Phase Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989. doi:10.1109/CVPR.1989.37875Markdown
[Fleet and Jepson. "Computation of Normal Velocity from Local Phase Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989.](https://mlanthology.org/cvpr/1989/fleet1989cvpr-computation/) doi:10.1109/CVPR.1989.37875BibTeX
@inproceedings{fleet1989cvpr-computation,
title = {{Computation of Normal Velocity from Local Phase Information}},
author = {Fleet, David J. and Jepson, Allan D.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1989},
pages = {379-386},
doi = {10.1109/CVPR.1989.37875},
url = {https://mlanthology.org/cvpr/1989/fleet1989cvpr-computation/}
}