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Efficient symmetry detection using local affine frames
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.
2007 (English)In: Image Analysis, Proceedings / [ed] Ersboll, BK; Pedersen, KS, 2007, Vol. 4522, 152-161 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present an efficient method for detecting planar bilateral symmetries under perspective projection. The method uses local affine frames (LAFs) constructed on maximally stable extremal regions or any other affine covariant regions detected in the image to dramatically improve the process of detecting symmetric objects under perspective distortion. In contrast to the previous work no Hough transform, is used. Instead, each symmetric pair of LAFs votes just once for a single axis of symmetry. The time complexity of the method is n log(n), where n is the number of LAFs, allowing a near real-time performance. The proposed method is robust to background clutter and partial occlusion and is capable of detecting an arbitrary number of symmetries in the image.

Place, publisher, year, edition, pages
2007. Vol. 4522, 152-161 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 4522
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-39589ISI: 000247364000016Scopus ID: 2-s2.0-38049090260ISBN: 978-3-540-73039-2 (print)OAI: oai:DiVA.org:kth-39589DiVA: diva2:441964
Conference
15th Scandinavian Conference on Image Analysis, SCIA 2007; Aalborg; 10 June 2007 through 14 June 2007
Available from: 2011-09-20 Created: 2011-09-12 Last updated: 2011-09-20Bibliographically approved

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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