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《Journal of Beijing Institute of Machinery》 2009-01
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Research on data simplification for point cloud in surface reconstruction

LI Ke-zhen,LOU Xiao-ping,Lü Nai-guang(School of Photoelectric Information and Telecommunication Engineering,Beijing Information Science and Technology University,Beijing 100192,China)  
Data simplification is an important part of surface reconstruction.Through analyzing the shortcomings of existing data simplification methods,a simplification method based on curvature variance of original scattered point cloud is adopted.This method emphasizes on the algorithms for spatial partition,neighborhood searching,curvature estimation and the principles of simplification.Through testing and analyzing some measured data with different characteristics,the results show that the algorithms achieve more reasonable effect of simplification.
【Fund】: 国家自然科学基金(50675015);; 北京市重点实验室(机电系统测控)开放课题(82073011)
【CateGory Index】: TP391.41
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