FPFHEstimation estimates the Fast Point Feature Histogram (FPFH) descriptor for a given point cloud dataset containing points and normals. More...
#include <fpfh.h>
Inheritance diagram for pcl_ros::FPFHEstimation:
Private Types | |
| typedef pcl::PointCloud < pcl::FPFHSignature33 > | PointCloudOut |
Private Member Functions | |
| bool | childInit (ros::NodeHandle &nh) |
| Child initialization routine. Internal method. | |
| void | computePublish (const PointCloudInConstPtr &cloud, const PointCloudNConstPtr &normals, const PointCloudInConstPtr &surface, const IndicesPtr &indices) |
| Compute the feature and publish it. | |
| void | emptyPublish (const PointCloudInConstPtr &cloud) |
| Publish an empty point cloud of the feature output type. | |
Private Attributes | |
| pcl::FPFHEstimation < pcl::PointXYZ, pcl::Normal, pcl::FPFHSignature33 > | impl_ |
Detailed Description
FPFHEstimation estimates the Fast Point Feature Histogram (FPFH) descriptor for a given point cloud dataset containing points and normals.
- Note:
- If you use this code in any academic work, please cite:
- R.B. Rusu, N. Blodow, M. Beetz. Fast Point Feature Histograms (FPFH) for 3D Registration. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, May 12-17 2009.
- R.B. Rusu, A. Holzbach, N. Blodow, M. Beetz. Fast Geometric Point Labeling using Conditional Random Fields. In Proceedings of the 22nd IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), St. Louis, MO, USA, October 11-15 2009.
- Note:
- The code is stateful as we do not expect this class to be multicore parallelized. Please look at FPFHEstimationOpenMP for examples on parallel implementations of the FPFH (Fast Point Feature Histogram).
Member Typedef Documentation
typedef pcl::PointCloud<pcl::FPFHSignature33> pcl_ros::FPFHEstimation::PointCloudOut [private] |
Member Function Documentation
| bool pcl_ros::FPFHEstimation::childInit | ( | ros::NodeHandle & | nh | ) | [inline, private, virtual] |
Child initialization routine. Internal method.
Implements pcl_ros::FeatureFromNormals.
| void pcl_ros::FPFHEstimation::computePublish | ( | const PointCloudInConstPtr & | cloud, |
| const PointCloudNConstPtr & | normals, | ||
| const PointCloudInConstPtr & | surface, | ||
| const IndicesPtr & | indices | ||
| ) | [private, virtual] |
Compute the feature and publish it.
Implements pcl_ros::FeatureFromNormals.
Definition at line 50 of file features/fpfh.cpp.
| void pcl_ros::FPFHEstimation::emptyPublish | ( | const PointCloudInConstPtr & | cloud | ) | [private, virtual] |
Publish an empty point cloud of the feature output type.
Implements pcl_ros::FeatureFromNormals.
Definition at line 42 of file features/fpfh.cpp.
Member Data Documentation
pcl::FPFHEstimation<pcl::PointXYZ, pcl::Normal, pcl::FPFHSignature33> pcl_ros::FPFHEstimation::impl_ [private] |
The documentation for this class was generated from the following files: