#include <pcl/filters/filter.h>
#include <map>
#include <boost/unordered_map.hpp>
#include <boost/fusion/sequence/intrinsic/at_key.hpp>
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Classes | |
class | pcl::VoxelGrid< PointT > |
VoxelGrid assembles a local 3D grid over a given PointCloud, and downsamples + filters the data. More... | |
class | pcl::VoxelGrid< sensor_msgs::PointCloud2 > |
VoxelGrid assembles a local 3D grid over a given PointCloud, and downsamples + filters the data. More... | |
Namespaces | |
namespace | pcl |
Functions | |
Eigen::MatrixXi | pcl::getAllNeighborCellIndices () |
Get the relative cell indices of all the 26 neighbors. | |
Eigen::MatrixXi | pcl::getHalfNeighborCellIndices () |
Get the relative cell indices of the "upper half" 13 neighbors. | |
PCL_EXPORTS void | pcl::getMinMax3D (const sensor_msgs::PointCloud2ConstPtr &cloud, int x_idx, int y_idx, int z_idx, Eigen::Vector4f &min_pt, Eigen::Vector4f &max_pt) |
Obtain the maximum and minimum points in 3D from a given point cloud. | |
PCL_EXPORTS void | pcl::getMinMax3D (const sensor_msgs::PointCloud2ConstPtr &cloud, int x_idx, int y_idx, int z_idx, const std::string &distance_field_name, float min_distance, float max_distance, Eigen::Vector4f &min_pt, Eigen::Vector4f &max_pt, bool limit_negative=false) |
Obtain the maximum and minimum points in 3D from a given point cloud. | |
template<typename PointT > | |
void | pcl::getMinMax3D (const typename pcl::PointCloud< PointT >::ConstPtr &cloud, const std::string &distance_field_name, float min_distance, float max_distance, Eigen::Vector4f &min_pt, Eigen::Vector4f &max_pt, bool limit_negative=false) |
Get the minimum and maximum values on each of the 3 (x-y-z) dimensions in a given pointcloud, without considering points outside of a distance threshold from the laser origin. |