Rectangle extraction in catadioptric images

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Nowadays, robotic systems are more and more equipped with catadioptric cameras. However several problems associated to catadioptric vision have been studied only slightly. Especially algorithms for detecting rectangles in catadioptric images have not yet been developed whereas it is required in diverse applications such as building extraction in aerial images. We show that working in the equivalent sphere provides an appropriate framework to detect lines, parallelism, orthogonality and therefore rectangles. Finally, we present experimental results on synthesized and real data. ©2007 IEEE.
Publisher
IEEE Computer Society and the Computer Vision Foundation (CVF)
Issue Date
2007-10-14
Language
English
Citation

2007 IEEE 11th International Conference on Computer Vision, ICCV

DOI
10.1109/ICCV.2007.4409208
URI
http://hdl.handle.net/10203/225793
Appears in Collection
GCT-Conference Papers(학술회의논문)
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