#include <pcl/io/pcd_io.h>
#include <pcl/io/ply_io.h>
#include <pcl/point_types.h>
#include <pcl/features/normal_3d.h>
#include <pcl/filters/project_inliers.h>
#include <pcl/segmentation/sac_segmentation.h>
#include <pcl/surface/convex_hull.h>
#include <pcl/visualization/pcl_visualizer.h>
int main(int argc, char** argv) {
// 读取点云文件
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
std::string file_path = "F:\\convex.pcd"; // 替换为你的点云文件路径
if (pcl::io::loadPCDFile<pcl::PointXYZ>(file_path, *cloud) == -1) {
PCL_ERROR("Couldn't read PCD file \n");
return (-1);
}
std::cout << "Loaded point cloud with " << cloud->points.size() << " points.\n";
// 1. 使用RANSAC算法拟合最佳平面
pcl::SACSegmentation<pcl::PointXYZ> seg;
pcl::ModelCoefficients::Ptr coefficients(new pcl::ModelCoefficients);
pcl::P
点云学习笔记17——PCL提取保存到的二维点云边界(即凸包边界)
于 2024-11-14 10:57:05 首次发布