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