Point Clouds 点云
Teeth Point-clouds 牙齿点云
Point clouds Registratiion 点云拼接
unorganized point-clouds 杂乱点云的
d point clouds 三维点云
2D point clouds 平面点云
Ourmethod has good simplicity as well as good result for most point clouds.
本文提出的算法简单易行,且对多数点云都有较好的效果。
参考来源 - 点云与几何图像的相关研究Registration for point clouds is so important in 3-D object modeling that it is the directly influencing factor to the final synthesis result and model precision.
点云数据配准是三维建模中的关键技术,它直接影响最后的合成结果和模型精度。
参考来源 - 三维激光扫描数据的空间配准研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper studies how to generate the slice data from point clouds, which is the critical problem in the integration of Reverse Engineering and Rapid Prototyping Manufacturing.
本文研究了反求工程与快速原型制造集成中的关键问题，即如何从点云数据生成层片轮廓数据。
In this thesis we summarize the main approaches for surface reconstruction, study the problem of boundary detection for point clouds, and propose a new algorithm based on regular space subdivision.
本文在总结曲面重建主流算法的基础上，对点云的边界检测问题进行了研究，提出了一种基于空间正规分割的边界检测新算法。
Firstly, all the pairwise points are searched by taking the curvature of point clouds as the registration relationship.
首先以点云的曲率为联系特征，搜索配准点云的匹配对集合；
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