搜索资源列表
NormFet_WindowsXP_src
- 计算点云数据的法向量和局部特征,以备三维重建运用-The normals and features can be computed from a point cloud using the NormFet software
Survey-on-normal-estimation
- 三维点云法向量估计综述，由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一-Point clouds are becoming more and more common for the representation of 3D geometry models because of its advantages over mesh models
calcMeshNormals
- 用于求取三维点云数据的法向量，我的人脸建模就是用的这个，效果很好，但必须保证点云没有重叠的，否则会出现严重错误。-Strike a 3D point cloud data for normal vectors, and my face is to use this model, the effect is very good, but must ensure that there is no overlap of the point cloud, there would be a serious
PCA
- 用主成分分析法估计出点云中每点的法向量函数-Principal component analysis method for normal estimation in point cloud
faxiangliang
- 点云三维重建中需要用的法向量计算，能够有效避免法向量不一致的问题，更好进行三维重建。测试有用。-Normal vector calculation point cloud reconstruction in need, and can effectively avoid the problem of inconsistent normals, better three-dimensional reconstruction. Useful for testing.
L-M(CPP)
- L_M非线性算法。根据平面点云数据进行平面拟合，得到平面的法向量，效果很好。-L_M methods.The plane fitting based on the planar point cloud data, get the normal vector of the plane, the effect is very good.
NormalEsimation2
- 求点云的法向量和k近邻的求取，可以根据一些需要自己改写，自己建立工程后可以使用-about the normalesimation ,after the debug can be excute in vs
point3d
- 直接运行TestMyCrust.m, 读取点云txt,或者直接加载mat文件 运行需要几分钟，耐心等待 完成后运行trianglenormal.m, 生成三角面片的法向量 运行完成得到tri.txt（组成三角面片的点的编号信息）,trinormal.txt(每个三角面片法向量数值)，diandian.txt(每个点云信息) 然后将三个数据当做stl_gen.exe的输入文件，得到trisuface.stl文件(run TestMyCrust.m, read point cloud fil
stl_gen
- 由点云数据，三角面片法向量 生成3d打印的stl文件(obtain the stl file which used to 3D printing, run from point cloud, normal vector files)
Normal_estimation
- 基于PCL的估算散乱点云的法矢量，并进行颜色渲染显示(estimation of normal vectors for point clouds and color rendering display based on PCL)
point_cloud
- 用经典的pca k邻域方法估计点云法向量的程序，带有matlab gui，使用matlab 2016b编译运行成功，输入点云最好为列向量的txt文件，gui中内置了点云显示模块以及生成的点云法向量显示，并且可以输出法向量到txt文件中。(The program of estimating point cloud vector with the classical PCA K neighborhood method, with Matlab GUI, uses MATLAB 2016b to co
用主成分分析法估计出点云中每点的法向量函数
- 用主成分分析法估计出点云中每点的法向量函数，实现平台为matlab(Principal component analysis is used to estimate the normal vector function of every point in point cloud, and the platform is matlab.)
normnd
- matlab代码，可以计算点云中的法向向量，可用于检测点云中的平面等(Calculating normal vectors of point clouds)
normal
- 通过构建四叉树，通过邻域搜索方法计算点云中每个点的法向量并进行展示(By constructing quadtree, the normal vector of each point in the point cloud was calculated and displayed by neighborhood search method)
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.)
estimate_normal
- 计算点云表面的法线向量(computes the vector normal of surface of the point cloud)
三维点云分割
- 通过java实现对三维点云进行分割，包括三种方法：基于法向量的、基于区域的、基于聚类的