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作 者:Zhao Liu Maodong Pan Zhouwang Yang Jiansong Deng
机构地区:[1]School of Mathematical Sciences,University of Science and Technology of China,Hefei,China
出 处:《Communications in Mathematics and Statistics》2015年第2期263-283,共21页数学与统计通讯(英文)
基 金:The authors are supported by a NKBRPC(2011CB302400);the National Natural Science Foundation of China(11171322 and 11371341);the 111 Project(No.b07033).
摘 要:Due to the shortages of current methods for the recovery of sharp features of mesh models with holes,this paper presents two novel algorithms for the recovery of features(especially sharp features)in mesh models.One algorithm defines an energy that is regarded as the difference between the initial features and the ideal features.The optimal solution of the energy optimization problem modifies the initial features.The algorithm has good performance on sharp features.The other method establishes a plane cluster for each initial feature point to obtain a corresponding modified feature point.If necessary,we can obtain the modified feature line by fitting these modified points.Both methods depend little on the result of fillingmodel holes and result in better features,which maintain the sharp geometric characteristic and the smoothness of the model.The experimental results of the two algorithms demonstrate their superiority and rationality compared with the existing methods.
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