DataContainer is a container for the input and target point clouds and implements the interface to compute correspondence scores between correspondent points in the input and target clouds
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#include <pcl/registration/correspondence_rejection.h>
template<typename PointT, typename NormalT = pcl::PointNormal>
class pcl::registration::DataContainer< PointT, NormalT >
DataContainer is a container for the input and target point clouds and implements the interface to compute correspondence scores between correspondent points in the input and target clouds
Definition at line 234 of file correspondence_rejection.h.
◆ DataContainer()
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ ~DataContainer()
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ getCorrespondenceScore() [1/2]
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ getCorrespondenceScore() [2/2]
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ getCorrespondenceScoreFromNormals()
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ getInputNormals()
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ getInputSource()
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ getInputTarget()
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ getTargetNormals()
template<typename PointT , typename NormalT = pcl::PointNormal>
◆ setInputNormals()
template<typename PointT , typename NormalT = pcl::PointNormal>
Set the normals computed on the input point cloud.
- Parameters
-
[in] | normals | the normals computed for the input cloud |
Definition at line 318 of file correspondence_rejection.h.
◆ setInputSource()
template<typename PointT , typename NormalT = pcl::PointNormal>
Provide a source point cloud dataset (must contain XYZ data!), used to compute the correspondence distance.
- Parameters
-
[in] | cloud | a cloud containing XYZ data |
Definition at line 269 of file correspondence_rejection.h.
◆ setInputTarget()
template<typename PointT , typename NormalT = pcl::PointNormal>
Provide a target point cloud dataset (must contain XYZ data!), used to compute the correspondence distance.
- Parameters
-
[in] | target | a cloud containing XYZ data |
Definition at line 286 of file correspondence_rejection.h.
◆ setSearchMethodTarget()
template<typename PointT , typename NormalT = pcl::PointNormal>
Provide a pointer to the search object used to find correspondences in the target cloud.
- Parameters
-
[in] | tree | a pointer to the spatial search object. |
[in] | force_no_recompute | If set to true, this tree will NEVER be recomputed, regardless of calls to setInputTarget. Only use if you are confident that the tree will be set correctly. |
Definition at line 307 of file correspondence_rejection.h.
◆ setTargetNormals()
template<typename PointT , typename NormalT = pcl::PointNormal>
Set the normals computed on the target point cloud.
- Parameters
-
[in] | normals | the normals computed for the input cloud |
Definition at line 334 of file correspondence_rejection.h.
The documentation for this class was generated from the following file: