voxel_grid.h File Reference

#include "pcl/filters/filter.h"
#include <map>
#include <boost/mpl/size.hpp>
#include <boost/fusion/sequence/intrinsic/at_key.hpp>

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Classes
struct	pcl::VoxelGrid< sensor_msgs::PointCloud2 >::Leaf
	Simple structure to hold an nD centroid and the number of points in a leaf. More...
struct	pcl::VoxelGrid< PointT >::Leaf
	Simple structure to hold an nD centroid and the number of points in a leaf. More...
struct	pcl::NdCopyEigenPointFunctor< PointT >
	Helper functor structure for copying data between an Eigen::VectorXf and a PointT. More...
struct	pcl::NdCopyPointEigenFunctor< PointT >
	Helper functor structure for copying data between an Eigen::VectorXf and a PointT. More...
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
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.
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)
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)