Ellipse Based Stereo Vision
Abstract
We propose a new stereo vision algorithm for finding circles in a scene. In both 2-D images, ellipses are found. The ellipses are matched in order to find circles in 3-D space. The method does not require a special camera alignment, instead both camera matrices must be known. Some results are presented, showing that the method is sufficiently fast and accurate for object recognition. After edge detection, a few seconds of CPU time are sufficient to find full circles with standard deviations of the order of 1–2% of the radius of the circles.
Cite
Text
Buurman. "Ellipse Based Stereo Vision." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_40Markdown
[Buurman. "Ellipse Based Stereo Vision." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/buurman1992eccv-ellipse/) doi:10.1007/3-540-55426-2_40BibTeX
@inproceedings{buurman1992eccv-ellipse,
title = {{Ellipse Based Stereo Vision}},
author = {Buurman, Johannes},
booktitle = {European Conference on Computer Vision},
year = {1992},
pages = {363-367},
doi = {10.1007/3-540-55426-2_40},
url = {https://mlanthology.org/eccv/1992/buurman1992eccv-ellipse/}
}