ML Anthology

A Mobile Vision System for Fast and Accurate Ellipse Detection

Michele Fornaciari, Rita Cucchiara, Andrea Prati
CVPRW 2013 pp. 52-53
doi:10.1109/CVPRW.2013.14 /cvprw/2013/fornaciari2013cvprw-mobile/

Abstract

Several papers addressed ellipse detection as a first step for several computer vision applications, but most of the proposed solutions are too slow to be applied in real time on large images or with limited hardware resources, as in the case of mobile devices. This demo is based on a novel algorithm for fast and accurate ellipse detection. The proposed algorithm relies on a careful selection of arcs which are candidate to form ellipses and on the use of Hough transform to estimate parameters in a decomposed space. The demo will show it working on a commercial smart-phone.

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Cite

Text

Fornaciari et al. "A Mobile Vision System for Fast and Accurate Ellipse Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013. doi:10.1109/CVPRW.2013.14

Markdown

[Fornaciari et al. "A Mobile Vision System for Fast and Accurate Ellipse Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013.](https://mlanthology.org/cvprw/2013/fornaciari2013cvprw-mobile/) doi:10.1109/CVPRW.2013.14

BibTeX

@inproceedings{fornaciari2013cvprw-mobile,
  title     = {{A Mobile Vision System for Fast and Accurate Ellipse Detection}},
  author    = {Fornaciari, Michele and Cucchiara, Rita and Prati, Andrea},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2013},
  pages     = {52-53},
  doi       = {10.1109/CVPRW.2013.14},
  url       = {https://mlanthology.org/cvprw/2013/fornaciari2013cvprw-mobile/}
}