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Detecting rotational symmetry under affine projection
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2006 (English)In: 18th International Conference on Pattern Recognition, Vol 2, Proceedings / [ed] Tang, YY; Wang, SP; Lorette, G; Yeung, DS; Yan, H, LOS ALAMITOS, CA: IEEE COMPUTER SOC , 2006, 292-295 p.Conference paper, Published paper (Refereed)
Abstract [en]

A new method is presented for detecting planar rotational symmetry under affine projection. The method can deal with partial occlusion and is able to detect multiple rotationally symmetric surfaces in complex backgrounds. The order of rotational symmetry can be estimated, and if it is greater than two, the tilt and orientation of the rotationally symmetric surface can be found and the symmetric region segmented. Local features robust to local affine distortion are matched to obtain pairs of features. Each feature pair hypothesises a set of centres of rotation for different tilts and orientations and the centres of rotation that are close to each other are grouped together to find the dominant rotational symmetries in the image. The method is posed independently of a specific feature detector and descriptor Results are presented on natural images.

Place, publisher, year, edition, pages
LOS ALAMITOS, CA: IEEE COMPUTER SOC , 2006. 292-295 p.
Series
INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, ISSN 1051-4651
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-42034ISI: 000240678300071Scopus ID: 2-s2.0-34047202671ISBN: 0-7695-2521-0 (print)OAI: oai:DiVA.org:kth-42034DiVA: diva2:446097
Conference
18th International Conference on Pattern Recognition (ICPR 2006). Hong Kong, PEOPLES R CHINA. AUG 20-24, 2006
Note
QC 20111006Available from: 2011-10-06 Created: 2011-10-05 Last updated: 2011-10-06Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
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  • nn-NB
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More languages
Output format
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  • asciidoc
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