A Mobile Vision System for Fast and Accurate Ellipse Detection

Michele Fornaciari, Rita Cucchiara, Andrea Prati; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2013, pp. 52-53

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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[bibtex]
@InProceedings{Fornaciari_2013_CVPR_Workshops,
author = {Fornaciari, Michele and Cucchiara, Rita and Prati, Andrea},
title = {A Mobile Vision System for Fast and Accurate Ellipse Detection},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2013}
}