A Fast Radial Symmetry Transform for Detecting Points of Interest
Abstract
A new feature detection technique is presented that utilises local radial symmetry to identify regions of interest within a scene. This transform is significantly faster than existing techniques using radial symmetry and offers the possibility of real-time implementation on a standard processor. The new transform is shown to perform well on a wide variety of images and its performance is tested against leading techniques from the literature. Both as a facial feature detector and as a generic region of interest detector the new transform is seen to offer equal or superior performance to contemporary techniques whilst requiring drastically less computational effort.
Cite
Text
Loy and Zelinsky. "A Fast Radial Symmetry Transform for Detecting Points of Interest." European Conference on Computer Vision, 2002. doi:10.1007/3-540-47969-4_24Markdown
[Loy and Zelinsky. "A Fast Radial Symmetry Transform for Detecting Points of Interest." European Conference on Computer Vision, 2002.](https://mlanthology.org/eccv/2002/loy2002eccv-fast/) doi:10.1007/3-540-47969-4_24BibTeX
@inproceedings{loy2002eccv-fast,
title = {{A Fast Radial Symmetry Transform for Detecting Points of Interest}},
author = {Loy, Gareth and Zelinsky, Alexander},
booktitle = {European Conference on Computer Vision},
year = {2002},
pages = {358-368},
doi = {10.1007/3-540-47969-4_24},
url = {https://mlanthology.org/eccv/2002/loy2002eccv-fast/}
}