DocumentCode :
3459410
Title :
Irregular Regions Automatic Matching Based on Cobweb Partition Strategy
Author :
Wang, Zhi-Heng ; Liu, Hong-Min
Author_Institution :
Sch. of Comput. Sci. & Tech., Henan Polytech. Univ., Jiaozuo, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Recently great progress has been made in the field of region detecting and matching. However, an extra step, fitting the irregular regions into fixed shapes, must be implemented in advance when constructing these descriptors on irregular regions. This shape fitting step can cause great errors, and thus will result in poor matching. In this paper, a method for irregular regions automatic matching is developed base on a cobweb partition strategy, which can partition irregular region neighborhood into sub-regions adaptively and thus avoid shape fitting errors. Experiments prove that method proposed in this paper can perform better than existing methods.
Keywords :
error analysis; image matching; shape control; cobweb partition strategy; irregular region neighborhood; irregular regions automatic matching; region detection; shape fitting errors; shape fitting step; Computer vision; Detectors; Europe; Fitting; Pattern analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659316
Filename :
5659316
Link To Document :
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