Symmetry Detection by Random Sampling and Voting Process

I
ICIAP
1999
10th International Conference on Image Analysis and Processing (ICIAP'99)
Abstract - Symmetry Detection by Random Sampling and Voting Process

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers 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 Atsushi Imiya Articles by Tomoki Ueno Articles by Iris Fermin

10th International Conference on Image Analysis and Processing (ICIAP'99)

Venice, Italy

September 27-September 29

ISBN: 0-7695-0040-4

	ASCII Text	x
	Atsushi Imiya, Tomoki Ueno, Iris Fermin, "Symmetry Detection by Random Sampling and Voting Process," Image Analysis and Processing, International Conference on, pp. 400, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999.

	BibTex	x
	@article{ 10.1109/ICIAP.1999.797628, author = {Atsushi Imiya and Tomoki Ueno and Iris Fermin}, title = {Symmetry Detection by Random Sampling and Voting Process}, journal ={Image Analysis and Processing, International Conference on}, volume = {0}, year = {1999}, isbn = {0-7695-0040-4}, pages = {400}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797628}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Analysis and Processing, International Conference on TI - Symmetry Detection by Random Sampling and Voting Process SN - 0-7695-0040-4 SP EP A1 - Atsushi Imiya, A1 - Tomoki Ueno, A1 - Iris Fermin, PY - 1999 VL - 0 JA - Image Analysis and Processing, International Conference on ER -

Atsushi Imiya, Chiba University

Tomoki Ueno, Chiba University

Iris Fermin, Chiba University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797628

We propose a randomized method for the detection of symmetry in polyhedra without assuming the predetermination of the centroids of the objects. Using a voting process, which is the main concept of the Hough transform in image processing, we transform the geometric computation for symmetry detection based on graph theory, to the peak detection problem in a voting space in the context of the Hough transform.

Citation:

Atsushi Imiya, Tomoki Ueno, Iris Fermin, "Symmetry Detection by Random Sampling and Voting Process," iciap, pp.400, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999

Peer Review Notice | Give Us Feedback

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