Knot-removal surface fairing using search strategies

被引:13
作者
Hahmann, S
Konz, S
机构
[1] Univ Grenoble 1, IMAG, Lab LMC, F-38041 Grenoble 9, France
[2] Univ Kaiserslautern, Fachbereich Informat, D-67653 Kaiserslautern, Germany
关键词
B-spline surfaces; fairness; knot insertion; knot removal; simulated annealing; best-first-search;
D O I
10.1016/S0010-4485(97)00078-X
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper presents two automatic fairing algorithms for parametric C-2-continuous bicubic B-spline surfaces. The fairing method consists of a knot-removal and knot-reinsertion step which locally smooths the surface. Search strategies like best-first-search and simulated annealing are searching for the global minimum of the fairing measure. The best-first-search algorithm constructs only partially a search tree and reduces significantly the complexity of a systematic search. Simulated annealing is a heuristic algorithm which needs a probability function and some further parameters as input. Both methods can satisfy end constraints and tolerances. Their performance is discussed for two numerical experiments. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:131 / 138
页数:8
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