Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set registration

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Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set registration

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作者：Jingfan FanAuthor Vitae ; Jian Yang ; ^{jyang@bit.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Danni AiAuthor Vitae ; Likun XiaAuthor Vitae ; Yitian ZhaoAuthor Vitae ; Xing GaoAuthor Vitae ; Yongtian WangAuthor Vitae
关键词：Convex hull ; Gaussian mixture model ; Point sets ; Non-rigid registration
刊名：Pattern Recognition
出版年：2016
出版时间：November 2016
年：2016
卷：59
期：Complete
页码：126-141
全文大小：4998 K

文摘

•: A novel CH-GMM method is proposed for non-rigid registration of point sets.
•: The CH-GMM can effectively present the topological information of point set.
•: The CH-GMM matching of the point sets is very fast.
•: The registration is very robust for points with large differences.

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