Detecting symmetry and symmetric constellations of features
2006 (English)In: COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS / [ed] Leonardis, A; Bischof, H; Pinz, A, 2006, Vol. 3952, 508-521 p.Conference paper (Refereed)
A novel and efficient method is presented for grouping feature points on the basis of their underlying symmetry and characterising the symmetries present in an image. We show how symmetric pairs of features can be efficiently detected, how the symmetry bonding each pair is extracted and evaluated, and how these can be grouped into symmetric constellations that specify the dominant symmetries present in the image. Symmetries over all orientations and radii are considered simultaneously, and the method is able to detect local or global symmetries, locate symmetric figures in complex backgrounds, detect bilateral or rotational symmetry, and detect multiple incidences of symmetry.
Place, publisher, year, edition, pages
2006. Vol. 3952, 508-521 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 3952
Reflectional Symmetry, Images, Transform, Model, Skew
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-42025ISI: 000237555200039ScopusID: 2-s2.0-33745832716ISBN: 3-540-33834-9OAI: oai:DiVA.org:kth-42025DiVA: diva2:446069
9th European Conference on Computer Vision (ECCV 2006) Location: Graz, Austria, Date: MAY 07-13, 2006
QC 201110062011-10-062011-10-052011-10-06Bibliographically approved