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