pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > Member List

This is the complete list of members for pcl::registration::CorrespondenceEstimation< PointSource, PointTarget >, including all inherited members.
corr_dist_threshold_pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [protected]
corr_name_pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [protected]
CorrespondenceEstimation()pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
deinitCompute()pcl::PCLBase< PointSource > [inline, protected]
determineCorrespondences(std::vector< pcl::registration::Correspondence > &correspondences, float max_distance=std::numeric_limits< float >::max())pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline, virtual]
determineReciprocalCorrespondences(std::vector< pcl::registration::Correspondence > &correspondences)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline, virtual]
fake_indices_pcl::PCLBase< PointSource > [protected]
features_map_pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [private]
FeaturesMap typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
findFeatureCorrespondences(int index, std::vector< int > &correspondence_indices)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline, protected]
getClassName() const pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline, protected]
getIndices()pcl::PCLBase< PointSource > [inline]
getInputCloud()pcl::PCLBase< PointSource > [inline]
getInputTarget()pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
getMaxCorrespondenceDistance()pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
getSourceFeature(std::string key)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
getTargetFeature(std::string key)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
hasValidFeatures()pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline, protected]
indices_pcl::PCLBase< PointSource > [protected]
initCompute()pcl::PCLBase< PointSource > [inline, protected]
input_pcl::PCLBase< PointSource > [protected]
KdTree typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
KdTreePtr typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
PCLBase()pcl::PCLBase< PointSource > [inline]
point_representation_pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [private]
PointCloud typedefpcl::PCLBase< PointSource >
PointCloudConstPtr typedefpcl::PCLBase< PointSource >
PointCloudPtr typedefpcl::PCLBase< PointSource >
PointCloudSource typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
PointCloudSourceConstPtr typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
PointCloudSourcePtr typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
PointCloudTarget typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
PointCloudTargetConstPtr typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
PointCloudTargetPtr typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
PointIndicesConstPtr typedefpcl::PCLBase< PointSource >
PointIndicesPtr typedefpcl::PCLBase< PointSource >
PointRepresentationConstPtr typedefpcl::registration::CorrespondenceEstimation< PointSource, PointTarget >
searchForNeighbors(const PointCloudSource &cloud, int index, std::vector< int > &indices, std::vector< float > &distances)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
setIndices(const IndicesConstPtr &indices)pcl::PCLBase< PointSource > [inline]
setIndices(const PointIndicesConstPtr &indices)pcl::PCLBase< PointSource > [inline]
setInputCloud(const PointCloudConstPtr &cloud)pcl::PCLBase< PointSource > [inline, virtual]
setInputTarget(const PointCloudTargetConstPtr &cloud)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline, virtual]
setKSearch(const typename pcl::KdTree< FeatureType >::Ptr &tree, int k, std::string key)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
setMaxCorrespondenceDistance(double distance_threshold)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
setPointRepresentation(const PointRepresentationConstPtr &point_representation)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
setRadiusSearch(const typename pcl::KdTree< FeatureType >::Ptr &tree, float r, std::string key)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
setSourceFeature(const typename pcl::PointCloud< FeatureType >::ConstPtr &source_feature, std::string key)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
setTargetFeature(const typename pcl::PointCloud< FeatureType >::ConstPtr &target_feature, std::string key)pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [inline]
target_pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [protected]
tree_pcl::registration::CorrespondenceEstimation< PointSource, PointTarget > [protected]
use_indices_pcl::PCLBase< PointSource > [protected]
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pcl
Author(s): See http://pcl.ros.org/authors for the complete list of authors.
autogenerated on Fri Jan 11 09:57:23 2013