DocumentCode :
3241979
Title :
An Improved Curvature Coding For Planar Shape Representation
Author :
Guo, Ke-Hua ; Yang, Jing-Yu
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing
fYear :
2008
fDate :
22-24 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
Traditional planar shape representations cannot efficiently solve some problems such as recognition under occlusion, reconstruction and partial matching. In this paper, an improved shape representation by the extraction of contour curvature is presented based on the invariance of curvature. Then the invariance and discrete approximation solution are demonstrated. Finally the reconstruction method to the contour and a new matching approach based on improved KMP (D. E. Knuth, V. R. Pratt and J. H. Morris) algorithm are proposed. Experiments illustrate the good performance of our approach to classification, occluded objects recognition and partial matching problems.
Keywords :
approximation theory; feature extraction; image matching; image representation; contour curvature extaction; curvature coding; curvature invariance; discrete approximation solution; matching algorithm; planar shape representation; Application software; Computational geometry; Computer science; Computer vision; Image reconstruction; Noise shaping; Object recognition; Pattern recognition; Reconstruction algorithms; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
Type :
conf
DOI :
10.1109/CCPR.2008.30
Filename :
4662983
Link To Document :
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