A Quasi-Monte Carlo Method for Computing Areas of Point-sampled Surfaces

CASIA OpenIR > 09年以前成果

	A Quasi-Monte Carlo Method for Computing Areas of Point-sampled Surfaces
	Liu, Yu-Shen; Yong, Jun-Hai; Zhang, Hui; Yan, Dong-Ming; Sun, Jia-Guang
发表期刊	Computer-Aided Design
	2006
卷号	38 期号:1 页码:55-68
摘要	A novel and efficient quasi-Monte Carlo method for computing the area of a point-sampled surface with associated surface normal for each point is presented. Our method operates directly on the point cloud without any surface reconstruction procedure. Using the Cauchy–Crofton formula, the area of the point-sampled surface is calculated by counting the number of intersection points between the point cloud and a set of uniformly distributed lines generated with low-discrepancy sequences. Based on a clustering technique, we also propose an effective algorithm for computing the intersection points of a line with the point-sampled surface. By testing on a number of point-based models, experiments suggest that our method is more robust and more efficient than those conventional approaches based on surface reconstruction. q 2005 Elsevier Ltd. All rights reserved.
关键词	Area
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14025
专题	09年以前成果
推荐引用方式 GB/T 7714	Liu, Yu-Shen,Yong, Jun-Hai,Zhang, Hui,et al. A Quasi-Monte Carlo Method for Computing Areas of Point-sampled Surfaces[J]. Computer-Aided Design,2006,38(1):55-68.
APA	Liu, Yu-Shen,Yong, Jun-Hai,Zhang, Hui,Yan, Dong-Ming,&Sun, Jia-Guang.(2006).A Quasi-Monte Carlo Method for Computing Areas of Point-sampled Surfaces.Computer-Aided Design,38(1),55-68.
MLA	Liu, Yu-Shen,et al."A Quasi-Monte Carlo Method for Computing Areas of Point-sampled Surfaces".Computer-Aided Design 38.1(2006):55-68.

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