https://github.com/MNewBie/PCL-Notes/blob/master/chapter9.md
表面法线是几何体表面的重要属性,属于特征描述范畴,由于下章关键点需要此操作,所以提前给出用法。
| class | pcl::NormalEstimation< PointInT, PointOutT > |
|---|---|
| NormalEstimation estimates local surface properties (surface normals and curvatures)at each 3D point. More… |
#include <pcl/io/pcd_io.h>#include <pcl/point_types.h>// 包含相关头文件#include <pcl/features/normal_3d.h>#include <pcl/visualization/pcl_visualizer.h>typedef pcl::PointXYZ PointT;typedef pcl::PointNormal PointNT; // 也可以pcl::Normal,但无法用PCLVisualizer显示。int main(int argc, char** argv){// 读取点云pcl::PointCloud<PointT>::Ptr cloud(new pcl::PointCloud<PointT>);pcl::io::loadPCDFile(argv[1], *cloud);// 计算法向量pcl::NormalEstimation<PointT, PointNT> nest;//nest.setRadiusSearch(0.01); // 设置拟合时邻域搜索半径,最好用模型分辨率的倍数nest.setKSearch(50); // 设置拟合时采用的点数nest.setInputCloud(cloud);pcl::PointCloud<PointNT>::Ptr normals(new pcl::PointCloud<PointNT>);nest.compute(*normals);for (size_t i = 0; i < cloud->points.size(); ++i){ // 生成时只生成了法向量,没有将原始点云信息拷贝,为了显示需要复制原信息// 也可用其他方法进行连接,如:pcl::concatenateFieldsnormals->points[i].x = cloud->points[i].x;normals->points[i].y = cloud->points[i].y;normals->points[i].z = cloud->points[i].z;}// 显示pcl::visualization::PCLVisualizer viewer;viewer.addPointCloud(cloud, "cloud");int level = 100; // 多少条法向量集合显示成一条float scale = 0.01; // 法向量长度viewer.addPointCloudNormals<PointNT>(normals, level, scale, "normals");viewer.spin();system("pause");return 0;}
