OpenCV的viz库学习（二）

学习目标

这次学习中将学会下面三部分：

如何使用makeTransformToGlobal计算位姿
如何使用makeCameraPose和Viz3d :: setViewerPose
如何通过轴和视锥显示可视化相机位置

代码

#include <opencv2/viz.hpp>
#include <iostream>
#include <fstream>
using namespace cv;
using namespace std;
static void help()
{cout<< "--------------------------------------------------------------------------"   << endl<< "This program shows how to use makeTransformToGlobal() to compute required pose,"<< "how to use makeCameraPose and Viz3d::setViewerPose. You can observe the scene "<< "from camera point of view (C) or global point of view (G)"                    << endl<< "Usage:"                                                                       << endl<< "./transformations [ G | C ]"                                                 << endl<< endl;
}
static Mat cvcloud_load()
{Mat cloud(1, 1889, CV_32FC3);ifstream ifs("bunny.ply");string str;for(size_t i = 0; i < 12; ++i)getline(ifs, str);Point3f* data = cloud.ptr<cv::Point3f>();float dummy1, dummy2;for(size_t i = 0; i < 1889; ++i)ifs >> data[i].x >> data[i].y >> data[i].z >> dummy1 >> dummy2;cloud *= 5.0f;return cloud;
}
int main(int argn, char **argv)
{help();if (argn < 2){cout << "Missing arguments." << endl;return 1;}bool camera_pov = (argv[1][0] == 'C');viz::Viz3d myWindow("Coordinate Frame");myWindow.showWidget("Coordinate Widget", viz::WCoordinateSystem());Vec3f cam_pos(3.0f,3.0f,3.0f), cam_focal_point(3.0f,3.0f,2.0f), cam_y_dir(-1.0f,0.0f,0.0f);Affine3f cam_pose = viz::makeCameraPose(cam_pos, cam_focal_point, cam_y_dir);Affine3f transform = viz::makeTransformToGlobal(Vec3f(0.0f,-1.0f,0.0f), Vec3f(-1.0f,0.0f,0.0f), Vec3f(0.0f,0.0f,-1.0f), cam_pos);Mat bunny_cloud = cvcloud_load();viz::WCloud cloud_widget(bunny_cloud, viz::Color::green());Affine3f cloud_pose = Affine3f().translate(Vec3f(0.0f,0.0f,3.0f));Affine3f cloud_pose_global = transform * cloud_pose;if (!camera_pov){viz::WCameraPosition cpw(0.5); // Coordinate axesviz::WCameraPosition cpw_frustum(Vec2f(0.889484, 0.523599)); // Camera frustummyWindow.showWidget("CPW", cpw, cam_pose);myWindow.showWidget("CPW_FRUSTUM", cpw_frustum, cam_pose);}myWindow.showWidget("bunny", cloud_widget, cloud_pose_global);if (camera_pov)myWindow.setViewerPose(cam_pose);myWindow.spin();return 0;
}

注释

创建一个可视化窗口

viz::Viz3d myWindow("Transformations");

从摄像机位置，摄像机焦点和y方向获取摄像机位姿

Point3f cam_pos(3.0f,3.0f,3.0f), cam_focal_point(3.0f,3.0f,2.0f), cam_y_dir(-1.0f,0.0f,0.0f);
Affine3f cam_pose = viz::makeCameraPose(cam_pos, cam_focal_point, cam_y_dir);

知道了相机坐标系轴获取变换矩阵

Affine3f transform = viz::makeTransformToGlobal(Vec3f(0.0f,-1.0f,0.0f), Vec3f(-1.0f,0.0f,0.0f), Vec3f(0.0f,0.0f,-1.0f), cam_pos);

从bunny.ply文件创建云部件

Mat bunny_cloud = cvcloud_load();
viz::WCloud cloud_widget(bunny_cloud, viz::Color::green());

已知相机坐标系中的姿势，估计全局姿势

Affine3f cloud_pose = Affine3f().translate(Vec3f(0.0f,0.0f,3.0f));
Affine3f cloud_pose_global = transform * cloud_pose;

如果将视点设置为全局视点，则可视化相机坐标系和视锥

if (!camera_pov)
{viz::WCameraPosition cpw(0.5); // Coordinate axesviz::WCameraPosition cpw_frustum(Vec2f(0.889484, 0.523599)); // Camera frustummyWindow.showWidget("CPW", cpw, cam_pose);myWindow.showWidget("CPW_FRUSTUM", cpw_frustum, cam_pose);
}

使用估计的全局姿势可视化点云部件

myWindow.showWidget("bunny", cloud_widget, cloud_pose_global);

如果将视点设置为相机的视点，则将查看者姿态设置为cam_pose

if (camera_pov)myWindow.setViewerPose(cam_pose);

结果

1、这是从摄像机的角度来看的结果

2、这是从全局角度来看的结果

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OpenCV的viz库学习（二）

学习目标

代码

注释

结果

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