DocumentCode :
632678
Title :
A Mobile Vision System for Fast and Accurate Ellipse Detection
Author :
Fornaciari, Michele ; Cucchiara, Rita ; Prati, Andrea
Author_Institution :
Univ. of Modena & Reggio Emilia, Modena, Italy
fYear :
2013
fDate :
23-28 June 2013
Firstpage :
52
Lastpage :
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.
Keywords :
Hough transforms; computer vision; smart phones; Hough transform; accurate ellipse detection; computer vision applications; decomposed space; hardware resources; mobile devices; mobile vision system; smart phone; Computer vision; Conferences; Image edge detection; Pattern recognition; Real-time systems; Robustness; Shape; Hough transform; ellipse detection; mobile vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
Conference_Location :
Portland, OR
Type :
conf
DOI :
10.1109/CVPRW.2013.14
Filename :
6595852
Link To Document :
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