搜索资源列表
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 numbe
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 no
read
- 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
八叉树k邻域搜索思路和数据精简
- 八叉树k邻域搜索思路和数据精简,点云数据P的K近邻指的是在物体空间内，点云数据内与P相邻的K个最近相邻点。这里采用八叉树分割法来搜索点P的K近邻。具体步骤是：先设定一个距离阈值，根据已知的P点坐标，可以求得相应的子立方体结点编号以及相邻的26个子立方体编号，每个子立方体记录下编号后，先在该子立方体内部搜索距离阈值范围内的K个近邻点，如果点数不够，则在其相邻的26个子立方体里面搜索，直到满足要求结束。
lazer
- 基于MFC的激光点云处理程序，可以实现激光点云的三角网格生成、栅格精简等功能-for voxelization of lazer points
Point-cloud-preprocessor
- 点云预处理程序，对点云数据进行精简，导入等一系列处理动作-Point cloud preprocessor, a series of point cloud data processing operations streamlined, import, etc.
point-cloud
- 几篇不错的点云精简论文~值得学习~对于研究点云来说值得一看~-A few good papers of the point cloud which is worth learning~It is worth a look at the research point cloud.
suojian
- matlab实现的点云精简算法，亲测可用，效果不错-cloud jingjian
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.)
均匀方格法点云精简
- 能实现最小包围盒法方格划分，并利用中值进行点云精简(The minimum bounding box method can be implemented and the median value can be used to simplify the point cloud.)
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.)