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