物体边界,这是物体最外层和阴影边界的可见点集;阴影边界,毗连于遮挡的背景上的点集;Veil点集,在被遮挡物边界和阴影边界之间的内插点,它们是由激光雷达获取的3D距离数据中的典型数据类型
#include<iostream>
#include<pcl/range_image/range_image.h>
#include<pcl/io/pcd_io.h>
#include<pcl/visualization/range_image_visualizer.h>
#include<pcl/visualization/pcl_visualizer.h>
#include<pcl/features/range_image_border_extractor.h>
#include<pcl/console/parse.h>
#include<pcl/common/file_io.h>
typedef pcl::PointXYZ PointType;
float angular_resolution = 0.5f;
pcl::RangeImage::CoordinateFrame coordinate_frame = pcl::RangeImage::CAMERA_FRAME;
bool setUnseenToMaxRange = false;
void
printUsage(const char* progName)
{
std::cout << "\n\nUsage: " << progName << " [options] <scene.pcd>\n\n"
<< "Options:\n"
<< "-------------------------------------------\n"
<< "-r <float> angular resolution in degrees (default " << angular_resolution << ")\n"
<< "-c <int> coordinate frame (default " << (int)coordinate_frame << ")\n"
<< "-m Treat all unseen points to max range\n"
<< "-h this help\n"
<< "\n\n";
}
// --------------
// -----Main-----
// --------------
int
main(int argc, char** argv)
{
// --------------------------------------
// -----Parse Command Line Arguments-----
// --------------------------------------
if (pcl::console::find_argument(argc, argv, "-h") >= 0)
{
printUsage(argv[0]);
return 0;
}
if (pcl::console::find_argument(argc, argv, "-m") >= 0)
{
setUnseenToMaxRange = true;
std::cout << "Setting unseen values in range image to maximum range readings.\n";
}
int tmp_coordinate_frame;
if (pcl::console::parse(argc, argv, "-c", tmp_coordinate_frame) >= 0)
{
coordinate_frame = pcl::RangeImage::CoordinateFrame(tmp_coordinate_frame);
std::cout << "Using coordinate frame " <<

本文探讨了PCL库中的RangeImage模块在处理激光雷达数据时,如何提取物体边界、阴影边界和Veil点集。这些点集对于理解和分析3D场景中的物体轮廓、遮挡关系及细节至关重要。
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