Ridge's Corner Detection and Correspondence
Abstract
Traditionally, corners are found along step edges. In this paper we present an alternative approach-corners along ridges/troughs and local minima points. These features seem to be more reliable for tracking. A new approach for sub-pixel localization of these corners is suggested, using a local approximation of the image surface.
Cite
Text
Shilat et al. "Ridge's Corner Detection and Correspondence." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609446Markdown
[Shilat et al. "Ridge's Corner Detection and Correspondence." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/shilat1997cvpr-ridge/) doi:10.1109/CVPR.1997.609446BibTeX
@inproceedings{shilat1997cvpr-ridge,
title = {{Ridge's Corner Detection and Correspondence}},
author = {Shilat, Erez and Werman, Michael and Gdalyahu, Yoram},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1997},
pages = {976-981},
doi = {10.1109/CVPR.1997.609446},
url = {https://mlanthology.org/cvpr/1997/shilat1997cvpr-ridge/}
}