ros vtk点云可视化
时间: 2023-09-13 17:13:58 浏览: 304
在ROS中,可以使用RViz来可视化点云数据。但是,如果您需要更高级的可视化功能,可以使用VTK库来创建自定义的点云可视化程序。下面是一个基本的VTK点云可视化程序:
```cpp
#include <vtkSmartPointer.h>
#include <vtkPolyDataMapper.h>
#include <vtkActor.h>
#include <vtkRenderWindow.h>
#include <vtkRenderer.h>
#include <vtkRenderWindowInteractor.h>
#include <vtkPLYReader.h>
#include <vtkPoints.h>
#include <vtkPointData.h>
#include <vtkVertexGlyphFilter.h>
int main(int argc, char* argv[])
{
// 初始化ROS节点
ros::init(argc, argv, "ros_vtk_point_cloud_visualization");
ros::NodeHandle nh;
// 读取点云数据
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>);
pcl::io::loadPCDFile<pcl::PointXYZ> ("input.pcd", *cloud);
// 创建VTK点云数据
vtkSmartPointer<vtkPoints> vtkPoints = vtkSmartPointer<vtkPoints>::New();
for (size_t i = 0; i < cloud->points.size(); i++)
{
vtkPoints->InsertNextPoint(cloud->points[i].x, cloud->points[i].y, cloud->points[i].z);
}
// 创建VTK点云数据的Actor
vtkSmartPointer<vtkPolyData> polyData = vtkSmartPointer<vtkPolyData>::New();
polyData->SetPoints(vtkPoints);
vtkSmartPointer<vtkVertexGlyphFilter> vertexGlyphFilter = vtkSmartPointer<vtkVertexGlyphFilter>::New();
vertexGlyphFilter->SetInputData(polyData);
vertexGlyphFilter->Update();
vtkSmartPointer<vtkPolyDataMapper> mapper = vtkSmartPointer<vtkPolyDataMapper>::New();
mapper->SetInputConnection(vertexGlyphFilter->GetOutputPort());
vtkSmartPointer<vtkActor> actor = vtkSmartPointer<vtkActor>::New();
actor->SetMapper(mapper);
// 创建渲染器和渲染窗口
vtkSmartPointer<vtkRenderer> renderer = vtkSmartPointer<vtkRenderer>::New();
renderer->AddActor(actor);
vtkSmartPointer<vtkRenderWindow> renWin = vtkSmartPointer<vtkRenderWindow>::New();
renWin->AddRenderer(renderer);
renWin->SetSize(640, 480);
// 创建交互器
vtkSmartPointer<vtkRenderWindowInteractor> interactor = vtkSmartPointer<vtkRenderWindowInteractor>::New();
interactor->SetRenderWindow(renWin);
// 开始渲染
interactor->Start();
return 0;
}
```
在上面的程序中,我们首先使用ROS读取了点云数据,然后创建了一个VTK的点云数据,并将其渲染到一个窗口中。请注意,上面的程序只是一个基本的模板,您可以根据自己的需要进行修改和扩展。
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