DocumentCode :
494980
Title :
Optimum Segmentation of Digital Planar Curves Using Quadric Bézier Curves
Author :
Zhou, Tianxiang ; Shi, Haiyan ; Zheng, Houtian ; Wang, Qiming ; Li, Youmei
Author_Institution :
Dept. of Comput. Sci., Shaoxing Coll. of Arts & Sci., Shaoxing, China
Volume :
3
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
98
Lastpage :
101
Abstract :
This paper presents a dynamic programming algorithm to detect dominant points within a planar digital curve by approximating the given curve with quadric Bezier curves. Normally, people use cubic or higher curves to piecewise approximate a given curve, and the main job is to achieve an accurate approximation instead of dominant point detection. While using cubic or higher curves in the process of detecting dominant points of a planar curve, although a higher accuracy is achieved, the computational complexity is high too. In this paper we propose an algorithm using quadric Beziers instead of circular arcs and lines to approximate the given curve. Compare with previous algorithms our method gets more reasonable results without increasing the computational complexity.
Keywords :
approximation theory; computational complexity; computational geometry; curve fitting; dynamic programming; computational complexity; cubic curves; digital planar curves; dynamic programming algorithm; optimum segmentation; quadric Bezier curves; Approximation algorithms; Change detection algorithms; Computational complexity; Computer science; Dynamic programming; Educational institutions; Filtering; Heuristic algorithms; Iterative algorithms; Turning; Bézier curves; CAD; curve segmentation; dynamic programming; error-increasing measurement; polygon approximation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.230
Filename :
5168813
Link To Document :
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