DocumentCode :
390559
Title :
A novel method of contour extraction based on dynamic programming
Author :
Ting, Yu ; Yupin, Luo
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
2002
fDate :
26-30 Aug. 2002
Firstpage :
817
Abstract :
Geometric contour, as an important object feature, has been used for shape matching and object recognition. E.N. Mortensen and W.A. Barrett (Proc. SIGGRAPH 95 Conf., p.191-8, 1995) proposed a method for contour extraction. Based on Dijkstra´s 2D dynamic programming, the method has a number of advantages over previous approaches. However, the drawbacks of this method are its interactive requirement during the optimal search and high computational complexity. We propose a new optimal search strategy to avoid the interactive requirement by allowing variations of the control points and integrating a multi-resolution framework to reduce computational complexity. Experiments show the effectiveness of our proposed approach.
Keywords :
computational complexity; dynamic programming; feature extraction; graph theory; image matching; object recognition; search problems; computational complexity; contour extraction; dynamic programming; geometric contour; graph network; interactive requirement; multi-resolution framework; object feature; object recognition; optimal search strategy; shape matching; Active contours; Automation; Computational complexity; Cost function; Dynamic programming; Laplace equations; Object recognition; Optimal control; Pixel; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
Type :
conf
DOI :
10.1109/ICOSP.2002.1181181
Filename :
1181181
Link To Document :
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