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出 处:《Journal of Computer Science & Technology》2006年第2期249-254,共6页计算机科学技术学报(英文版)
基 金:A prehminary version of this paper appeared in Proc. the 1st Korea-China Joint Conference on Geometric and Visual Computing.This work is supported by the 0utstanding Youth Grant of the National Natural Science Foundation of China (Grant No. 60225002), the National Natural Science Foundation of China (Grant Nos.60533060 and 60473132),the National Basic Research 973 Program of China (Grant No. 2004CB318000),the TRAP0YT in Higher Education Institute of M0E of China, and SRF for R0CS,SEM.
摘 要:The dynamic implicit curve/surface reconstruction demands no special requirement on the initial shapes in general. In order to speed up the iteration in the reconstruction, we discuss how to specify the initial shapes so as to reflect the geometric information and the topology structure of the given data. The basic idea is based on the combination of the distance function and the generalized eigenvector fitting model. Keywords Sampson distance, generalized eigenvector fitting, dynamic implicit surface reconstructionThe dynamic implicit curve/surface reconstruction demands no special requirement on the initial shapes in general. In order to speed up the iteration in the reconstruction, we discuss how to specify the initial shapes so as to reflect the geometric information and the topology structure of the given data. The basic idea is based on the combination of the distance function and the generalized eigenvector fitting model. Keywords Sampson distance, generalized eigenvector fitting, dynamic implicit surface reconstruction
关 键 词:Sampson distance generalized eigenvector fitting dynamic implicit surface reconstruction
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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