A Shape-Preserving Non-parametric Symmetry Transform

I
ICPR
2006
18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Abstract - A Shape-Preserving Non-parametric Symmetry Transform

	This Article
	Subscribers, please Login Purchase article: $19 PDF RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Olli Lahdenoja Articles by Esa Alhoniemi Articles by Mika Laiho Articles by Ari Paasio

18th International Conference on Pattern Recognition (ICPR'06) Volume 2

Hong Kong

August 20-August 24

ISBN: 0-7695-2521-0

	ASCII Text	x
	Olli Lahdenoja, Esa Alhoniemi, Mika Laiho, Ari Paasio, "A Shape-Preserving Non-parametric Symmetry Transform," Pattern Recognition, International Conference on, vol. 2, pp. 373-377, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.172, author = {Olli Lahdenoja and Esa Alhoniemi and Mika Laiho and Ari Paasio}, title = {A Shape-Preserving Non-parametric Symmetry Transform}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2006}, issn = {1051-4651}, pages = {373-377}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.172}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - A Shape-Preserving Non-parametric Symmetry Transform SN - 1051-4651 SP373 EP377 A1 - Olli Lahdenoja, A1 - Esa Alhoniemi, A1 - Mika Laiho, A1 - Ari Paasio, PY - 2006 VL - 2 JA - Pattern Recognition, International Conference on ER -

Olli Lahdenoja, University of Turku, Finland

Esa Alhoniemi, University of Turku, Finland

Mika Laiho, University of Turku, Finland

Ari Paasio, University of Turku, Finland

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.172

Recently, a non-parametric image measure, symmetry, for local binary patterns has been introduced. In this paper, we propose a generalised symmetry transform for arbitrary neighbourhoods and describe its theoretical properties. The symmetry of the local binary patterns is shown to be a special case of a more general non-parametric concept. Applications of the symmetry include searching of interest points and correspondence.

Citation:

Olli Lahdenoja, Esa Alhoniemi, Mika Laiho, Ari Paasio, "A Shape-Preserving Non-parametric Symmetry Transform," icpr, vol. 2, pp.373-377, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.