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3D Registration of Curves and Surfaces Using Local Differential Information

机译:使用局部微分信息进行曲线和曲面的3D配准

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This article presents for the first time a global method for registering 3D curves with 3D surfaces without requiring an initialization. The algorithm works with 2-tuples point+vector that consist in pairs of points augmented with the information of their tangents or normals. A closed-form solution for determining the alignment transformation from a pair of matching 2-tuples is proposed. In addition, the set of necessary conditions for two 2-tuples to match is derived. This allows fast search of correspondences that are used in an hypothesise-and-test framework for accomplishing global registration. Comparative experiments demonstrate that the proposed algorithm is the first effective solution for curve vs surface registration, with the method achieving accurate alignment in situations of small overlap and large percentage of outliers in a fraction of a second. The proposed framework is extended to the cases of curve vs curve and surface vs surface registration, with the former being particularly relevant since it is also a largely unsolved problem.
机译:本文首次介绍了无需初始化即可将3D曲线与3D曲面对齐的全局方法。该算法适用于2元组的点+向量,该向量由成对的点组成,这些点以其切线或法线的信息增强。提出了一种用于从一对匹配的2元组确定对齐变换的封闭形式解决方案。另外,得出两个2元组匹配的必要条件集。这允许快速搜索用于完成全局注册的假设和测试框架中的对应关系。比较实验表明,所提出的算法是曲线与曲面配准的第一个有效解决方案,该方法在重叠小且离群值百分比大的情况下,可以在不到一秒的时间内实现精确对齐。所提出的框架扩展到曲线与曲线以及表面与表面配准的情况,前者特别重要,因为它也是一个很大程度上未解决的问题。

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