三维配准中局部参考系的Z轴、X轴、权值及消歧方法评价
The Z-axis, X-axis, Weight and Disambiguation Methods for Constructing Local Reference Frame in 3D Registration: An Evaluation
摘要：
局部参考系（LRF）作为在局部三维曲面上生成的独立坐标系，被广泛应用于基于局部方法的曲面匹配中的两个关键步骤：三维局部特征描述子构造和三维变换估计。文献中提出了许多LRF方法。在这些方法中，x轴和z轴通常由不同的方法或策略生成，并且一些x轴方法是基于给定的z轴来实现的。此外，加权和消歧方法也是这些LRF方法中常用的方法。在现有的LRF评估中，每种LRF方法都是用完整的形式进行评估的。然而，LRF构造中的z轴、x轴、权重和消歧方法的优缺点尚不清楚。本文综合分析了现有LRF中的z轴、x轴、权值和消歧方法，得到了6种z轴、8种x轴、5种权值和2种消歧方法。这些方法的性能进行了全面评估的六个标准数据集与不同的应用场景和滋扰。结合评价结果，分析和总结了不同权重、消歧、z轴和x轴方法的优缺点。实验结果还表明，一些新设计的LRF轴表现出优越的性能与国家的最先进的。
英文摘要：
The local reference frame (LRF), as an independent coordinate system generated on a local 3D surface, is widely used in 3D local feature descriptor construction and 3D transformation estimation which are two key steps in the local method-based surface matching. There are numerous LRF methods have been proposed in literatures. In these methods, the x- and z-axis are commonly generated by different methods or strategies, and some x-axis methods are implemented on the basis of a z-axis being given. In addition, the weight and disambiguation methods are commonly used in these LRF methods. In existing evaluations of LRF, each LRF method is evaluated with a complete form. However, the merits and demerits of the z-axis, x-axis, weight and disambiguation methods in LRF construction are unclear. In this paper, we comprehensively analyze the z-axis, x-axis, weight and disambiguation methods in existing LRFs, and obtain six z-axis and eight x-axis, five weight and two disambiguation methods. The performance of these methods are comprehensively evaluated on six standard datasets with different application scenarios and nuisances. Considering the evaluation outcomes, the merits and demerits of different weight, disambiguation, z- and x-axis methods are analyzed and summarized. The experimental result also shows that some new designed LRF axes present superior performance compared with the state-of-the-art ones.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
