PointCloudLibrary

A hypothesis verification method proposed in "An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes", C. More...

Public Member Functions
	PapazovHV ()
void	setConflictThreshold (float t)
void	setSupportThreshold (float t)
void	setPenaltyThreshold (float t)
void	verify () override
Public Member Functions inherited from pcl::HypothesisVerification< ModelT, SceneT >
	HypothesisVerification ()
virtual	~HypothesisVerification ()=default
bool	getRequiresNormals ()
void	setResolution (float r)
void	setOcclusionThreshold (float t)
void	setInlierThreshold (float r)
void	getMask (std::vector< bool > &mask)
void	addCompleteModels (std::vector< typename pcl::PointCloud< ModelT >::ConstPtr > &complete_models)
void	addNormalsClouds (std::vector< pcl::PointCloud< pcl::Normal >::ConstPtr > &complete_models)
void	addModels (std::vector< typename pcl::PointCloud< ModelT >::ConstPtr > &models, bool occlusion_reasoning=false)
void	setSceneCloud (const typename pcl::PointCloud< SceneT >::Ptr &scene_cloud)
void	setOcclusionCloud (const typename pcl::PointCloud< SceneT >::Ptr &occ_cloud)

Additional Inherited Members
Protected Attributes inherited from pcl::HypothesisVerification< ModelT, SceneT >
std::vector< bool >	mask_
pcl::PointCloud< SceneT >::ConstPtr	scene_cloud_
pcl::PointCloud< SceneT >::ConstPtr	occlusion_cloud_
bool	occlusion_cloud_set_
pcl::PointCloud< SceneT >::Ptr	scene_cloud_downsampled_
pcl::search::KdTree< SceneT >::Ptr	scene_downsampled_tree_
std::vector< typename pcl::PointCloud< ModelT >::ConstPtr >	visible_models_
std::vector< typename pcl::PointCloud< pcl::Normal >::ConstPtr >	visible_normal_models_
std::vector< typename pcl::PointCloud< ModelT >::ConstPtr >	complete_models_
std::vector< typename pcl::PointCloud< pcl::Normal >::ConstPtr >	complete_normal_models_
int	zbuffer_scene_resolution_
int	zbuffer_self_occlusion_resolution_
float	resolution_
float	inliers_threshold_
float	occlusion_thres_
bool	requires_normals_
bool	normals_set_

Detailed Description

A hypothesis verification method proposed in "An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes", C.

Papazov and D. Burschka, ACCV 2010

Definition at line 55 of file hv_papazov.h.