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
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;
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
DOI :
10.1109/ICIAP.1999.797628
