本文主要是介绍PCL Ransac 点云平面拟合 将三维不平整表面投影到一个平面 C++代码,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!
参考链接(投影):https://blog.csdn.net/soaryy/article/details/82884691
参考链接(Ransac拟合):https://blog.csdn.net/weixin_41758695/article/details/85322304
利用开源的点云库PCL,使用VS2015完成的C++代码,测试文件(.obj)已经在本站(csdn)上传资源,供大家交流,如有问题欢迎多提宝贵意见
对于不平整表面,利用ransac平面拟合,然后将三维不平整表面(或者曲面)近似为一个平面,并将表面上的点投影到该平面,并且显示出来,如图所示,白色为原始点云,绿色为拟合的平面
代码如下
#define _CRT_SECURE_NO_WARNINGS
#include <glut.h>
#include <vtkAutoInit.h>
VTK_MODULE_INIT(vtkRenderingOpenGL);
VTK_MODULE_INIT(vtkInteractionStyle);#include <iostream>
#include <string>
#include <pcl/io/io.h>
#include <pcl/io/pcd_io.h>
#include <pcl/io/obj_io.h>
#include <pcl/PolygonMesh.h>
#include <pcl/point_cloud.h>
#include <pcl/io/vtk_lib_io.h>
#include <pcl/visualization/cloud_viewer.h>
#include <pcl/sample_consensus/method_types.h>
#include <pcl/sample_consensus/model_types.h>
#include <pcl/segmentation/sac_segmentation.h>
#include <cstdlib>
#include <vector>using namespace pcl;
using namespace std;int main()
{ //--------------------- Input path ----------------------------------------------pcl::PolygonMesh mesh;pcl::io::loadPolygonFile(".\\Original.obj", mesh);pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);pcl::fromPCLPointCloud2(mesh.cloud, *cloud);//--------------------------- Plane ---------------------------------pcl::SACSegmentation<pcl::PointXYZ> sac;pcl::ModelCoefficients::Ptr coefficients(new pcl::ModelCoefficients);pcl::PointIndices::Ptr inliers(new pcl::PointIndices);pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_plane(new pcl::PointCloud<pcl::PointXYZ>);sac.setInputCloud(cloud);sac.setMethodType(pcl::SAC_RANSAC);sac.setModelType(pcl::SACMODEL_PLANE);sac.setDistanceThreshold(15); //Distance need to be adjusted according to the objsac.setMaxIterations(100);sac.setProbability(0.95); sac.segment(*inliers, *coefficients);boost::shared_ptr<pcl::visualization::PCLVisualizer> view(new pcl::visualization::PCLVisualizer);view->addPointCloud(cloud);//Plane Model: ax+by+cz+d=0; saved in *coefficientsfloat a, b, c, d;a = coefficients->values[0];b = coefficients->values[1];c = coefficients->values[2];d = coefficients->values[3];int i, j, k;int size = cloud->size();//------------------------ Projection ------------------------pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_proj(new pcl::PointCloud<pcl::PointXYZ>);pcl::PointXYZ point;for (i = 0; i<size; i++){float x, y, z;x = cloud->at(i).x;y = cloud->at(i).y;z = cloud->at(i).z;point.x = ((b*b + c*c)*x - a*(b*y + c*z + d)) / (a*a + b*b + c*c);point.y = ((a*a + c*c)*y - b*(a*x + c*z + d)) / (a*a + b*b + c*c);point.z = ((b*b + a*a)*z - c*(a*x + b*y + d)) / (a*a + b*b + c*c);cloud_proj->push_back(point);}pcl::visualization::PointCloudColorHandlerCustom<pcl::PointXYZ> color_handler(cloud_proj, 50, 230, 12);view->addPointCloud(cloud_proj, color_handler, "CH");view->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 2, "CH");while (!view->wasStopped()){view->spinOnce(100);}system("pause");return 0;
}
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