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
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