DocumentCode :
3325847
Title :
Region correspondence by inexact attributed planar graph matching
Author :
Wang, Caihua ; Abe, Keiichi
Author_Institution :
Graduate Sch. of Electron. Sci., Shizuoka Univ., Hamamatsu, Japan
fYear :
1995
fDate :
20-23 Jun 1995
Firstpage :
440
Lastpage :
447
Abstract :
An efficient graph matching approach is proposed for finding region correspondence between two images of the same scene but taken from different viewpoints. Regions and their relations in an image are represented with region adjacency graph (RAG), which is a kind of attributed planar graph. The problem to find an optimal region correspondence, which matches the regions in two images with maximal similarity in region features and region relations, is formulated into the problem to find the optimal inexact matching between two RAGs. The properties specific to planar graph and that of the region adjacency relations are utilized to invent an efficient algorithm to solve the problem. Experimental results on various kinds of images show the effectiveness of the method
Keywords :
graph theory; image matching; image representation; image segmentation; RAG; attributed planar graph; graph matching approach; inexact attributed planar graph matching; maximal similarity; optimal inexact matching; optimal region correspondence; region adjacency graph; region relations; Cameras; Computer science; Computer vision; Image segmentation; Layout; Optimal matching; State-space methods; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
Type :
conf
DOI :
10.1109/ICCV.1995.466906
Filename :
466906
Link To Document :
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