#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. | |