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。
Results By point clouds analysis, the quantitative parameter of undercut was obtained.
结果 基于牙冠预备体三维数字化模型，得到了就位倒凹的量化指标。
Multi-view point clouds registration is one of the key techniques in 3D vision measurement for large object.
在大型物体三维视觉测量中，多视点云的对齐是其关键技术之一。
Secondly, the laser propagation rule in the underground air and error influencing factors of scanning point clouds were studied systematically.
第二，研究激光在井下空气中的传播规律及扫描点云数据的误差影响因素。
The tool uses a specific calibration target for the individual calibration of 3D point clouds before realizing real measurements in 3D.
在真正的3D测量实施之前，Metric 3D工具使用一个指定校准目标对3D点云的各个数据进行特定校正。
Concerning the point clouds with noises and outliers acquired by a 3d scanner, a denoising method based on the concept of local outlier was proposed.
针对三维扫描仪获取的带噪声和离群点的点云数据，提出了基于局部离群点概念的去噪算法。
High resolution digital terrain model derived up from LiDAR point clouds can provide more details of microrelief information for tidal wetland environment researches.
应用激光雷达数据生产高精度的数字地面模型，可为滨岸环境的研究提供精细的微地貌数据。
Aiming at the problem of point clouds registration without prior information on transformation, a novel registration algorithm is proposed based on geometric properties of point clouds.
为了有效地解决不存在明确对应关系的点云配准问题，提出了一种基于点云几何特征的配准算法。
Point-clouds registration is widely applied in reverse-engineering, computer vision and medical imaging, etc.
点云数据拼接在逆向工程、计算机视觉、医学图像处理等方面有着十分广泛的应用。
Point-clouds registration is widely applied in reverse-engineering, computer vision and medical imaging, etc.
点云数据拼接在逆向工程、计算机视觉、医学图像处理等方面有着十分广泛的应用。
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