C++ PCL库:保存多个点云数据为PLY文件并可视化
#include
int main() { // 创建点云数据 pcl::PointCloudpcl::PointXYZRGB::Ptr cloud(new pcl::PointCloudpcl::PointXYZRGB); pcl::PointCloudpcl::PointXYZRGB::Ptr cloud2(new pcl::PointCloudpcl::PointXYZRGB);
cloud->width = 100;
cloud->height = 1;
cloud->points.resize(cloud->width * cloud->height);
cloud2->width = 100;
cloud2->height = 1;
cloud2->points.resize(cloud2->width * cloud2->height);
for (size_t i = 0; i < cloud->points.size(); ++i)
{
cloud->points[i].x = static_cast<float>(1024 * rand() / (RAND_MAX + 1.0));
cloud->points[i].y = static_cast<float>(1024 * rand() / (RAND_MAX + 1.0));
cloud->points[i].z = static_cast<float>(1024 * rand() / (RAND_MAX + 1.0));
cloud->points[i].r = 255;
cloud->points[i].g = 0;
cloud->points[i].b = 0;
cloud2->points[i].x = static_cast<float>(1024 * rand() / (RAND_MAX + 1.0));
cloud2->points[i].y = static_cast<float>(1024 * rand() / (RAND_MAX + 1.0));
cloud2->points[i].z = static_cast<float>(1024 * rand() / (RAND_MAX + 1.0));
cloud2->points[i].r = 0;
cloud2->points[i].g = 255;
cloud2->points[i].b = 0;
}
// 保存点云数据为PLY文件
pcl::PLYWriter writer;
writer.write("cloud1.ply", *cloud);
writer.write("cloud2.ply", *cloud2);
// 可视化点云数据
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.setBackgroundColor(0.0, 0.0, 0.0);
viewer.addPointCloud<pcl::PointXYZRGB>(cloud, "cloud1");
viewer.addPointCloud<pcl::PointXYZRGB>(cloud2, "cloud2");
viewer.setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_COLOR, 1.0, 0.0, 0.0, "cloud1");
viewer.setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_COLOR, 0.0, 1.0, 0.0, "cloud2");
viewer.spin();
return 0;
}
原文地址: http://www.cveoy.top/t/topic/pBTO 著作权归作者所有。请勿转载和采集!