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. © 2013 IEEE.
A mobile vision system for fast and accurate ellipse detection / Fornaciari, M.; Cucchiara, R.; Prati, A.. - (2013), pp. 52-53. (Intervento presentato al convegno 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 tenutosi a Portland, OR, usa nel 2013) [10.1109/CVPRW.2013.14].
A mobile vision system for fast and accurate ellipse detection
Cucchiara R.;
2013
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. © 2013 IEEE.
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