Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
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DOI：
10.1109/tvcg.2012.310
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发表时间：
2013-07-01
影响因子：
5.2
通讯作者：
Rosin, Paul L.
中科院分区：
文献类型：
--
作者：
Tam, Gary K. L.;Cheng, Zhi-Quan;Rosin, Paul L.
三维表面配准将多个三维数据集变换到同一坐标系中，以便对准这些集合的重叠分量。最近的研究已经涵盖了刚性配准和非刚性配准的不同方面，但很少将它们作为一个整体进行讨论。我们的研究有两个目的：1）对这两种配准类型进行全面调查，重点关注三维点云和网格; 2）从数据拟合的角度更好地理解配准。配准与数据拟合密切相关，其中包括三个核心交织部分：模型选择，对应和约束以及优化。这些组件的研究1）提供了一个基础，不同的技术的新颖性进行比较，2）揭示了刚性和非刚性注册的问题表示方面的相似性，和3）显示如何过拟合出现在非刚性注册和内在的技术越来越感兴趣的原因。我们进一步总结了一些实际问题的注册，其中包括初始化和评估，并讨论了我们自己的一些观察，见解和可预见的研究趋势。
Three-dimensional surface registration transforms multiple three-dimensional data sets into the same coordinate system so as to align overlapping components of these sets. Recent surveys have covered different aspects of either rigid or nonrigid registration, but seldom discuss them as a whole. Our study serves two purposes: 1) To give a comprehensive survey of both types of registration, focusing on three-dimensional point clouds and meshes and 2) to provide a better understanding of registration from the perspective of data fitting. Registration is closely related to data fitting in which it comprises three core interwoven components: model selection, correspondences and constraints, and optimization. Study of these components 1) provides a basis for comparison of the novelties of different techniques, 2) reveals the similarity of rigid and nonrigid registration in terms of problem representations, and 3) shows how overfitting arises in nonrigid registration and the reasons for increasing interest in intrinsic techniques. We further summarize some practical issues of registration which include initializations and evaluations, and discuss some of our own observations, insights and foreseeable research trends.