Affine invariant curve matching using normalization and curvature scale-space

Giannekou, V; Tzouveli, P; Avrithis, Y; Kollias, S

dc.contributor.author	Giannekou, V	en
dc.contributor.author	Tzouveli, P	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:45:05Z
dc.date.available	2014-03-01T02:45:05Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32144
dc.subject	Affine Transformation	en
dc.subject	Curve Matching	en
dc.subject	Shape Similarity	en
dc.subject	Curvature Scale Space	en
dc.subject.other	Image segmentation	en
dc.subject.other	Indexing (of information)	en
dc.subject.other	Affine invariants	en
dc.subject.other	Affine transformations	en
dc.subject.other	Content-based multimedia	en
dc.subject.other	Curvature scale spaces	en
dc.subject.other	Curve matching	en
dc.subject.other	Curve representations	en
dc.subject.other	Local properties	en
dc.subject.other	Lossless	en
dc.subject.other	Matching algorithms	en
dc.subject.other	Shape similarity and retrieval	en
dc.subject.other	To curve	en
dc.subject.other	Image registration	en
dc.title	Affine invariant curve matching using normalization and curvature scale-space	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CBMI.2008.4564948	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CBMI.2008.4564948	en
heal.identifier.secondary	4564948	en
heal.publicationDate	2008	en
heal.abstract	In this paper, an affine invariant curve matching method using curvature scale-space and normalization is proposed. Prior to curve matching, curve normalization with respect to affine transformations is applied, allowing a lossless affine invariant curve representation. The maxima points of the curvature scale-space (CSS) image are then used to represent the normalized curve, while retaining the local properties of the curve. The matching algorithm that follows, matches the maxima sets of CSS images and the resulting matching cost provides a measure of similarity. The method's performance and robustness is evaluated through a variety of curves and affine transformations, obtaining precise shape similarity and retrieval. ©2008 IEEE.	en
heal.journalName	2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings	en
dc.identifier.doi	10.1109/CBMI.2008.4564948	en
dc.identifier.spage	208	en
dc.identifier.epage	215	en