DocumentCode
3223865
Title
Symmetry detection by random sampling and voting process
Author
Imiya, Atsushi ; Ueno, Tomoki ; Fermin, Iris
Author_Institution
Dept. of Inf. & Image Sci., Chiba Univ., Japan
fYear
1999
fDate
1999
Firstpage
400
Lastpage
405
Abstract
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
Keywords
Hough transforms; computational geometry; feature extraction; graph theory; image processing; image sampling; random processes; symmetry; Hough transform; graph theory; image processing; peak detection problem; polyhedra; random sampling; symmetry detection; voting process; voting space; Sampling methods; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location
Venice
Print_ISBN
0-7695-0040-4
Type
conf
DOI
10.1109/ICIAP.1999.797628
Filename
797628
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