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http://dx.doi.org/10.6109/jkiice.2010.14.9.2016

Reconstructing Curves With Self-intersections  

Kim, Hyoung-Seok B. (동의대학교 멀티미디어공학과)
Abstract
We propose a new algorithm for reconstructing curves with self-intersections from sample points. In general, the result of curve reconstruction depends on how to select and order the representative points to resemble the shape of sample points. Most of the previous point ordering approaches utilize the Euclidean distance to compute the proximity of sample points without directional information, so they can not solve the non-simple curve reconstruction problem. In this paper, we develop a new distance estimating the adjacency between sample points, which is derived from the standard normal distribution of Brownian motion. Experimental results show that this approach is very effective to non-simple curve reconstruction.
Keywords
Curve reconstruction; Self-intersection;
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