StatisticalOutlierRemoval uses point neighborhood statistics to filter outlier data. For more information check: More...

Inheritance diagram for pcl_ros::StatisticalOutlierRemoval:

Protected Member Functions
bool	child_init (ros::NodeHandle &nh, bool &has_service)
	Child initialization routine.
void	config_callback (pcl_ros::StatisticalOutlierRemovalConfig &config, uint32_t level)
	Dynamic reconfigure callback.
void	filter (const PointCloud2::ConstPtr &input, const IndicesPtr &indices, PointCloud2 &output)
	Call the actual filter.
Protected Attributes
boost::shared_ptr < dynamic_reconfigure::Server < pcl_ros::StatisticalOutlierRemovalConfig > >	srv_
	Pointer to a dynamic reconfigure service.
Private Attributes
pcl::StatisticalOutlierRemoval < pcl::PCLPointCloud2 >	impl_
	The PCL filter implementation used.

Detailed Description

StatisticalOutlierRemoval uses point neighborhood statistics to filter outlier data. For more information check:

R. B. Rusu, Z. C. Marton, N. Blodow, M. Dolha, and M. Beetz. Towards 3D Point Cloud Based Object Maps for Household Environments Robotics and Autonomous Systems Journal (Special Issue on Semantic Knowledge), 2008.

Note:: setFilterFieldName (), setFilterLimits (), and setFilterLimitNegative () are ignored.

Member Function Documentation

bool pcl_ros::StatisticalOutlierRemoval::child_init	(	ros::NodeHandle &	nh,
		bool &	has_service
	)		`[protected, virtual]`

Child initialization routine.

Parameters:

nh	ROS node handle
has_service	set to true if the child has a Dynamic Reconfigure service

Reimplemented from pcl_ros::Filter.

void pcl_ros::StatisticalOutlierRemoval::config_callback	(	pcl_ros::StatisticalOutlierRemovalConfig &	config,
		uint32_t	level
	)		`[protected]`

Dynamic reconfigure callback.

Parameters:

config	the config object
level	the dynamic reconfigure level

void pcl_ros::StatisticalOutlierRemoval::filter	(	const PointCloud2::ConstPtr &	input,
		const IndicesPtr &	indices,
		PointCloud2 &	output
	)		`[inline, protected, virtual]`