PCL经典例程

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原创最新推荐文章于 2026-04-17 10:57:41 发布 3.4k 阅读 AI 写同款· GEO 优化 ›

PCL入门<七> 可视化PCLVisualizer PCL的点云可视化的一种最常用的方法就是PCLVisualizer 它是基于VTK的可视化类，需要引入头文件 #include 通常用法是 pcl::visualization::PCLVisualizer::Ptr viewer (new pcl::visualization::PCLVisualizer ("3D Viewer")); viewer->addPointClou 阅读详情

１、用到的头文件：

#include <vtkAutoInit.h>
VTK_MODULE_INIT(vtkRenderingOpenGL)
VTK_MODULE_INIT(vtkInteractionStyle)
VTK_MODULE_INIT(vtkRenderingFreeType)

#include <iostream>
#include <boost/thread/thread.hpp>
#include <pcl/common/common_headers.h>
#include <pcl/common/common_headers.h>
#include <pcl/features/normal_3d.h>
#include <pcl/io/pcd_io.h>   //读取PCD文件
#include <pcl/io/vtk_lib_io.h>   //读取Ploy文件
#include <pcl/visualization/pcl_visualizer.h>
#include <pcl/console/parse.h>

２、基本的点云可视化操作

boost::shared_ptr<pcl::visualization::PCLVisualizer> simpleVis(pcl::PointCloud<pcl::PointXYZ>::ConstPtr cloud)
{

    // -----Open 3D viewer and add point cloud
    //创建视窗对象并给标题栏设置一个名称“3D Viewer”并将它设置为boost::shared_ptr智能共享指针，这样可以保证指针在程序中全局使用，而不引起内存错误
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    //设置视窗的背景色，可以任意设置RGB的颜色，这里是设置为黑色
    viewer->setBackgroundColor(0, 0, 0);
    /*这是最重要的一行，我们将点云添加到视窗对象中，并定一个唯一的字符串作为ID 号，利用此字符串保证在其他成员中也能
    标志引用该点云，多次调用addPointCloud可以实现多个点云的添加，每调用一次就会创建一个新的ID号，如果想更新一个
    已经显示的点云，必须先调用removePointCloud（），并提供需要更新的点云ID 号*/
    viewer->addPointCloud<pcl::PointXYZ>(cloud, "sample cloud");
    //用于改变显示点云的尺寸，可以利用该方法控制点云在视窗中的显示方法，
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1, "sample cloud");
    //查看复杂的点云，经常让人感到没有方向感，为了保持正确的坐标判断，需要显示坐标系统方向，可以通过使用X（红色）
    //Y（绿色 ）Z （蓝色）圆柱体代表坐标轴的显示方式来解决，圆柱体的大小可以通过scale参数来控制，本例中scale设置为1.0
    viewer->addCoordinateSystem(1.0);
    //通过设置照相机参数使得从默认的角度和方向观察点云
    viewer->initCameraParameters();
    return (viewer);
}

３、可视化彩色点云的颜色特征

boost::shared_ptr<pcl::visualization::PCLVisualizer> rgbVis(pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud)
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    return (viewer);
}

４、自定义点云的颜色特征（自定义点云颜色）

boost::shared_ptr<pcl::visualization::PCLVisualizer> customColourVis(pcl::PointCloud<pcl::PointXYZ>::ConstPtr cloud)
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    //创建一个自定义的颜色处理器PointCloudColorHandlerCustom对象，并设置颜色为纯绿色
    pcl::visualization::PointCloudColorHandlerCustom<pcl::PointXYZ> single_color(cloud, 0, 255, 0);
    //addPointCloud<>()完成对颜色处理器对象的传递
    viewer->addPointCloud<pcl::PointXYZ>(cloud, single_color, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    return (viewer);
}

５、可视化点云法线

//显示法线是理解点云的一个重要步骤，点云法线特征是非常重要的基础特征，PCL visualizer可视化类可用于绘制法线，
//也可以绘制表征点云的其他特征，比如主曲率和几何特征，normalsVis函数中演示了如何实现点云的法线
boost::shared_ptr<pcl::visualization::PCLVisualizer> normalsVis(
    pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud, pcl::PointCloud<pcl::Normal>::ConstPtr normals)
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    //实现对点云法线的显示
    viewer->addPointCloudNormals<pcl::PointXYZRGB, pcl::Normal>(cloud, normals, 10, 0.05, "normals");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    return (viewer);
}

６、绘制普通形状

//PCL visualizer可视化类允许用户在视窗中绘制一般图元，这个类常用于显示点云处理算法的可视化结果，例如 通过可视化球体
//包围聚类得到的点云集以显示聚类结果，shapesVis函数用于实现添加形状到视窗中，添加了四种形状：从点云中的一个点到最后一个点
//之间的连线，原点所在的平面，以点云中第一个点为中心的球体，沿Y轴的椎体
boost::shared_ptr<pcl::visualization::PCLVisualizer> shapesVis(pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud)
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    /************************************************************************************************
    绘制形状的实例代码，绘制点之间的连线，
    *************************************************************************************************/
    viewer->addLine<pcl::PointXYZRGB>(cloud->points[0],
        cloud->points[cloud->size() - 1], "line");
    //添加点云中第一个点为中心，半径为0.2的球体，同时可以自定义颜色
    viewer->addSphere(cloud->points[0], 0.2, 0.5, 0.5, 0.0, "sphere");

    //---------------------------------------
    //-----Add shapes at other locations添加绘制平面使用标准平面方程ax+by+cz+d=0来定义平面，这个平面以原点为中心，方向沿着Z方向-----
    //---------------------------------------
    pcl::ModelCoefficients coeffs;
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(1.0);
    coeffs.values.push_back(0.0);
    viewer->addPlane(coeffs, "plane");
    //添加锥形的参数
    coeffs.values.clear();
    coeffs.values.push_back(0.3);
    coeffs.values.push_back(0.3);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(1.0);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(5.0);
    viewer->addCone(coeffs, "cone");

    return (viewer);
}

７、多窗口显示多个点云

//viewportsVis函数演示如何用多视角来显示点云计算法线的方法结果对比
boost::shared_ptr<pcl::visualization::PCLVisualizer> viewportsVis(
    pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud, pcl::PointCloud<pcl::Normal>::ConstPtr normals1, pcl::PointCloud<pcl::Normal>::ConstPtr normals2)
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->initCameraParameters();
    //以上是创建视图的标准代码

    int v1(0);  //创建新的视口
    viewer->createViewPort(0.0, 0.0, 0.5, 1.0, v1);  //4个参数分别是X轴的最小值，最大值，Y轴的最小值，最大值，取值0-1，v1是标识
    viewer->setBackgroundColor(0, 0, 0, v1);    //设置视口的背景颜色
    viewer->addText("Radius: 0.01", 10, 10, "v1 text", v1);  //添加一个标签区别其他窗口  利用RGB颜色着色器并添加点云到视口中
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud1", v1);
    //对第二视口做同样的操作，使得做创建的点云分布于右半窗口，将该视口背景赋值于灰色，以便明显区别，虽然添加同样的点云，给点云自定义颜色着色
    int v2(0);
    viewer->createViewPort(0.5, 0.0, 1.0, 1.0, v2);
    viewer->setBackgroundColor(0.3, 0.3, 0.3, v2);
    viewer->addText("Radius: 0.1", 10, 10, "v2 text", v2);
    pcl::visualization::PointCloudColorHandlerCustom<pcl::PointXYZRGB> single_color(cloud, 0, 255, 0);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, single_color, "sample cloud2", v2);
    //为所有视口设置属性，
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud1");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud2");
    viewer->addCoordinateSystem(1.0);
    //添加法线  每个视图都有一组对应的法线
    viewer->addPointCloudNormals<pcl::PointXYZRGB, pcl::Normal>(cloud, normals1, 10, 0.05, "normals1", v1);
    viewer->addPointCloudNormals<pcl::PointXYZRGB, pcl::Normal>(cloud, normals2, 10, 0.05, "normals2", v2);

    return (viewer);
}

８、鼠标事件

//每次响应这种事件都会在鼠标按下的位置上生成一个文本标签
unsigned int text_id = 0;
void keyboardEventOccurred(const pcl::visualization::KeyboardEvent &event,
    void* viewer_void)
{
    pcl::visualization::PCLVisualizer *viewer = static_cast<pcl::visualization::PCLVisualizer *> (viewer_void);
    if (event.getKeySym() == "r" && event.keyDown())
    {
        std::cout << "r was pressed => removing all text" << std::endl;

        char str[512];
        for (unsigned int i = 0; i < text_id; ++i)
        {
            sprintf(str, "text#%03d", i);
            viewer->removeShape(str);
        }
        text_id = 0;
    }
}

９、键盘事件

//所以在PCL中视窗中注册事件响应回调函数，不会覆盖其他成员对同一事件的响应
void mouseEventOccurred (const pcl::visualization::MouseEvent &event,
                         void* viewer_void)
{
  pcl::visualization::PCLVisualizer *viewer = static_cast<pcl::visualization::PCLVisualizer *> (viewer_void);
  if (event.getButton () == pcl::visualization::MouseEvent::LeftButton &&
      event.getType () == pcl::visualization::MouseEvent::MouseButtonRelease)
  {
    std::cout << "Left mouse button released at position (" << event.getX () << ", " << event.getY () << ")" << std::endl;

    char str[512];
    sprintf (str, "text#%03d", text_id ++);
    viewer->addText ("clicked here", event.getX (), event.getY (), str);
  }
}

10、自定义交互

//多数情况下，默认的鼠标和键盘交互设置不能满足用户的需求，用户想扩展函数的某一些功能，比如按下键盘时保存点云的信息，或者通过鼠标确定点云的位置，interactionCustomizationVis 函数进行演示如何捕捉鼠标和键盘事件，在窗口点击，将会显示一个2D的文本标签，按下r健出去文本

boost::shared_ptr<pcl::visualization::PCLVisualizer> interactionCustomizationVis ()
{
  boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer (new pcl::visualization::PCLVisualizer ("3D Viewer"));
  viewer->setBackgroundColor (0, 0, 0);
  //以上是实例化视窗的标准代码
  viewer->addCoordinateSystem (1.0);
  //分别注册响应键盘和鼠标事件，keyboardEventOccurred  mouseEventOccurred回调函数，需要将boost::shared_ptr强制转换为void*
  viewer->registerKeyboardCallback (keyboardEventOccurred, (void*)viewer.get ());
  viewer->registerMouseCallback (mouseEventOccurred, (void*)viewer.get ());

  return (viewer);
}

完整代码

#include <iostream>  
#include <boost/thread/thread.hpp>  
#include <pcl/common/common_headers.h>  
#include <pcl/common/common_headers.h>  
#include <pcl/features/normal_3d.h>  
#include <pcl/io/pcd_io.h>  
#include <pcl/visualization/pcl_visualizer.h>  
#include <pcl/console/parse.h>  
// 帮助  
void
printUsage(const char* progName)
{
    std::cout << "\n\nUsage: " << progName << " [options]\n\n"
        << "Options:\n"
        << "-------------------------------------------\n"
        << "-h           this help\n"
        << "-s           Simple visualisation example\n"
        << "-r           RGB colour visualisation example\n"
        << "-c           Custom colour visualisation example\n"
        << "-n           Normals visualisation example\n"
        << "-a           Shapes visualisation example\n"
        << "-v           Viewports example\n"
        << "-i           Interaction Customization example\n"
        << "\n\n";
}

//Simple visualisation example  
boost::shared_ptr<pcl::visualization::PCLVisualizer> simpleVis(pcl::PointCloud<pcl::PointXYZ>::ConstPtr cloud)
{
    //创建3D窗口并添加点云  
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    viewer->addPointCloud<pcl::PointXYZ>(cloud, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1, "sample cloud");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    return (viewer);
}

//RGB colour visualisation example  
boost::shared_ptr<pcl::visualization::PCLVisualizer> rgbVis(pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud)
{
    //创建3D窗口并添加点云   
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    return (viewer);
}

//Custom colour visualisation example  
boost::shared_ptr<pcl::visualization::PCLVisualizer> customColourVis(pcl::PointCloud<pcl::PointXYZ>::ConstPtr cloud)
{
    //创建3D窗口并添加点云  
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    pcl::visualization::PointCloudColorHandlerCustom<pcl::PointXYZ> single_color(cloud, 0, 255, 0);
    viewer->addPointCloud<pcl::PointXYZ>(cloud, single_color, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    return (viewer);
}

//Normals visualisation example  
boost::shared_ptr<pcl::visualization::PCLVisualizer> normalsVis(
    pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud, pcl::PointCloud<pcl::Normal>::ConstPtr normals)
{
    //创建3D窗口并添加点云其包括法线    
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    viewer->addPointCloudNormals<pcl::PointXYZRGB, pcl::Normal>(cloud, normals, 10, 0.05, "normals");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    return (viewer);
}

//Shapes visualisation example  
boost::shared_ptr<pcl::visualization::PCLVisualizer> shapesVis(pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud)
{
    //创建3D窗口并添加点云      
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud");
    viewer->addCoordinateSystem(1.0);
    viewer->initCameraParameters();
    //在点云上添加直线和球体模型  
    viewer->addLine<pcl::PointXYZRGB>(cloud->points[0],
        cloud->points[cloud->size() - 1], "line");
    viewer->addSphere(cloud->points[0], 0.2, 0.5, 0.5, 0.0, "sphere");
    //在其他位置添加基于模型参数的平面及圆锥体  
    pcl::ModelCoefficients coeffs;
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(1.0);
    coeffs.values.push_back(0.0);
    viewer->addPlane(coeffs, "plane");
    coeffs.values.clear();
    coeffs.values.push_back(0.3);
    coeffs.values.push_back(0.3);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(1.0);
    coeffs.values.push_back(0.0);
    coeffs.values.push_back(5.0);
    viewer->addCone(coeffs, "cone");

    return (viewer);
}

//Viewports example  
boost::shared_ptr<pcl::visualization::PCLVisualizer> viewportsVis(
    pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud, pcl::PointCloud<pcl::Normal>::ConstPtr normals1, pcl::PointCloud<pcl::Normal>::ConstPtr normals2)
{
    // 创建3D窗口并添加显示点云其包括法线  
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->initCameraParameters();
    int v1(0);
    viewer->createViewPort(0.0, 0.0, 0.5, 1.0, v1);
    viewer->setBackgroundColor(0, 0, 0, v1);
    viewer->addText("Radius: 0.01", 10, 10, "v1 text", v1);
    pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, rgb, "sample cloud1", v1);
    int v2(0);
    viewer->createViewPort(0.5, 0.0, 1.0, 1.0, v2);
    viewer->setBackgroundColor(0.3, 0.3, 0.3, v2);
    viewer->addText("Radius: 0.1", 10, 10, "v2 text", v2);
    pcl::visualization::PointCloudColorHandlerCustom<pcl::PointXYZRGB> single_color(cloud, 0, 255, 0);
    viewer->addPointCloud<pcl::PointXYZRGB>(cloud, single_color, "sample cloud2", v2);
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud1");
    viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "sample cloud2");
    viewer->addCoordinateSystem(1.0);

    viewer->addPointCloudNormals<pcl::PointXYZRGB, pcl::Normal>(cloud, normals1, 10, 0.05, "normals1", v1);
    viewer->addPointCloudNormals<pcl::PointXYZRGB, pcl::Normal>(cloud, normals2, 10, 0.05, "normals2", v2);

    return (viewer);
}


unsigned int text_id = 0;
void keyboardEventOccurred(const pcl::visualization::KeyboardEvent &event,
    void* viewer_void)
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer = *static_cast<boost::shared_ptr<pcl::visualization::PCLVisualizer> *> (viewer_void);
    if (event.getKeySym() == "r" && event.keyDown())
    {
        std::cout << "r was pressed => removing all text" << std::endl;

        char str[512];
        for (unsigned int i = 0; i < text_id; ++i)
        {
            sprintf(str, "text#%03d", i);
            viewer->removeShape(str);
        }
        text_id = 0;
    }
}

void mouseEventOccurred(const pcl::visualization::MouseEvent &event,
    void* viewer_void)
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer = *static_cast<boost::shared_ptr<pcl::visualization::PCLVisualizer> *> (viewer_void);
    if (event.getButton() == pcl::visualization::MouseEvent::LeftButton &&
        event.getType() == pcl::visualization::MouseEvent::MouseButtonRelease)
    {
        std::cout << "Left mouse button released at position (" << event.getX() << ", " << event.getY() << ")" << std::endl;

        char str[512];
        sprintf(str, "text#%03d", text_id++);
        viewer->addText("clicked here", event.getX(), event.getY(), str);
    }
}

//Interaction Customization example  
boost::shared_ptr<pcl::visualization::PCLVisualizer> interactionCustomizationVis()
{
    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer(new pcl::visualization::PCLVisualizer("3D Viewer"));
    viewer->setBackgroundColor(0, 0, 0);
    viewer->addCoordinateSystem(1.0);

    viewer->registerKeyboardCallback(keyboardEventOccurred, (void*)&viewer);
    viewer->registerMouseCallback(mouseEventOccurred, (void*)&viewer);

    return (viewer);
}
// -----Main-----  
int
main(int argc, char** argv)
{
    // 解析命令行参数  
    if (pcl::console::find_argument(argc, argv, "-h") >= 0)
    {
        printUsage(argv[0]);
        return 0;
    }
    bool simple(false), rgb(false), custom_c(false), normals(false),
        shapes(false), viewports(false), interaction_customization(false);
    if (pcl::console::find_argument(argc, argv, "-s") >= 0)
    {
        simple = true;
        std::cout << "Simple visualisation example\n";
    }
    else if (pcl::console::find_argument(argc, argv, "-c") >= 0)
    {
        custom_c = true;
        std::cout << "Custom colour visualisation example\n";
    }
    else if (pcl::console::find_argument(argc, argv, "-r") >= 0)
    {
        rgb = true;
        std::cout << "RGB colour visualisation example\n";
    }
    else if (pcl::console::find_argument(argc, argv, "-n") >= 0)
    {
        normals = true;
        std::cout << "Normals visualisation example\n";
    }
    else if (pcl::console::find_argument(argc, argv, "-a") >= 0)
    {
        shapes = true;
        std::cout << "Shapes visualisation example\n";
    }
    else if (pcl::console::find_argument(argc, argv, "-v") >= 0)
    {
        viewports = true;
        std::cout << "Viewports example\n";
    }
    else if (pcl::console::find_argument(argc, argv, "-i") >= 0)
    {
        interaction_customization = true;
        std::cout << "Interaction Customization example\n";
    }
    else
    {
        printUsage(argv[0]);
        return 0;
    }
    // 自行创建一随机点云  
    pcl::PointCloud<pcl::PointXYZ>::Ptr basic_cloud_ptr(new pcl::PointCloud<pcl::PointXYZ>);
    pcl::PointCloud<pcl::PointXYZRGB>::Ptr point_cloud_ptr(new pcl::PointCloud<pcl::PointXYZRGB>);
    std::cout << "Genarating example point clouds.\n\n";
    // 以椭圆为边线沿z轴拉伸获取其点云，并赋予红绿蓝渐变色。  
    uint8_t r(255), g(15), b(15);
    for (float z(-1.0); z <= 1.0; z += 0.05)
    {
        for (float angle(0.0); angle <= 360.0; angle += 5.0)
        {
            pcl::PointXYZ basic_point;
            basic_point.x = 0.5 * cosf(pcl::deg2rad(angle));
            basic_point.y = sinf(pcl::deg2rad(angle));
            basic_point.z = z;
            basic_cloud_ptr->points.push_back(basic_point);

            pcl::PointXYZRGB point;
            point.x = basic_point.x;
            point.y = basic_point.y;
            point.z = basic_point.z;
            uint32_t rgb = (static_cast<uint32_t>(r) << 16 |
                static_cast<uint32_t>(g) << 8 | static_cast<uint32_t>(b));
            point.rgb = *reinterpret_cast<float*>(&rgb);
            point_cloud_ptr->points.push_back(point);
        }
        if (z < 0.0)
        {
            r -= 12;
            g += 12;
        }
        else
        {
            g -= 12;
            b += 12;
        }
    }
    basic_cloud_ptr->width = (int)basic_cloud_ptr->points.size();
    basic_cloud_ptr->height = 1;
    point_cloud_ptr->width = (int)point_cloud_ptr->points.size();
    point_cloud_ptr->height = 1;
    // 0.05为搜索半径获取点云法线  
    pcl::NormalEstimation<pcl::PointXYZRGB, pcl::Normal> ne;
    ne.setInputCloud(point_cloud_ptr);
    pcl::search::KdTree<pcl::PointXYZRGB>::Ptr tree(new pcl::search::KdTree<pcl::PointXYZRGB>());
    ne.setSearchMethod(tree);
    pcl::PointCloud<pcl::Normal>::Ptr cloud_normals1(new pcl::PointCloud<pcl::Normal>);
    ne.setRadiusSearch(0.05);
    ne.compute(*cloud_normals1);
    //  0.1为搜索半径获取点云法线  
    pcl::PointCloud<pcl::Normal>::Ptr cloud_normals2(new pcl::PointCloud<pcl::Normal>);
    ne.setRadiusSearch(0.1);
    ne.compute(*cloud_normals2);

    boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer;
    if (simple)
    {
        viewer = simpleVis(basic_cloud_ptr);
    }
    else if (rgb)
    {
        viewer = rgbVis(point_cloud_ptr);
    }
    else if (custom_c)
    {
        viewer = customColourVis(basic_cloud_ptr);
    }
    else if (normals)
    {
        viewer = normalsVis(point_cloud_ptr, cloud_normals2);
    }
    else if (shapes)
    {
        viewer = shapesVis(point_cloud_ptr);
    }
    else if (viewports)
    {
        viewer = viewportsVis(point_cloud_ptr, cloud_normals1, cloud_normals2);
    }
    else if (interaction_customization)
    {
        viewer = interactionCustomizationVis();
    }
    // 主循环  
    while (!viewer->wasStopped())
    {
        viewer->spinOnce(100);
        boost::this_thread::sleep(boost::posix_time::microseconds(100000));
    }
}

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