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curve
- 本人写的三维点云精简程序，用于激光三维扫描数据的弦高-角度法的实现。附带一些激光扫描仪的点云数据-I write three-dimensional point cloud to streamline the procedures for the three-dimensional laser scan data of the chord height- angle of law implementation. With a number of laser scanner point cloud
ResearchontheProcessingofNon-contactedThree-dimens
- :讨论了非接触三维扫描测量数据处理中的噪声点剔除、失真点的查找、数据精简和平滑处 理以及点云数据的拼合对齐等诸多问题,并通过一个简单的实例介绍了非接触三维扫描测量数 据的处理技巧.-This paper discusses several problems in non-contacted three- dimensional scanning measurement data processing , such as noise points deleting , distorti
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- 应用八叉树编码法划分点云邻域空间为多个指定边长的子立方体，保留每个子立方体中距中心点最近的点，实现从空间整体角度对点云的精简。对三维模型数据进行了精简测试，证明了该算法的有效性和实用性。 -Octree encoding application point cloud into space for the neighborhood more than the specified sub-cube side, keep away from each sub-cube in the center o
21bounding-box-algorithm
- 三维点云包围盒精简算法，内包含点云数据与处理结果，直观可用，效果良好。(Three dimensional point cloud bounding box reduction algorithm, which contains point cloud data and processing results, is intuitive and available, and the effect is good.)
基于法向量的点云数据精简算法仿真
- 点云数据精简程序简单易懂！matlab算法——计算三维散乱点云的曲率，包括主曲率，高斯曲率和平均曲率(Reduced algorithm of laser measurement data for geometric parameters of ring forgings based on Artificial Immune Algorithm.)