Classes
class	AddColorFromImage
class	AddPointIndices
class	AttentionClipper
class	BilateralFilter
class	BorderEstimator
class	BoundingBoxFilter
class	BoundingBoxOcclusionRejector
class	CapturedSamplePointCloud
class	CaptureStereoSynchronizer
class	CentroidPublisher
class	ClusterPointIndicesDecomposer
class	ClusterPointIndicesDecomposerZAxis
class	ColorFilter
class	ColorHistogramMatcher
class	ColorizeDistanceFromPlane
class	ColorizeHeight2DMapping
class	ColorizeMapRandomForest
class	ColorizeRandomForest
class	ConvexConnectedVoxels
class	CubeHypothesis
class	DelayPointCloud
class	DepthCalibration
class	DepthImageCreator
class	DepthImageError
class	DiagnoalCubeHypothesis
class	EdgebasedCubeFinder
class	EdgeDepthRefinement
class	EnvironmentPlaneModeling
	Nodelet implementation of jsk_pcl/EnvironmentPlaneModeling. More...
class	EuclideanClustering
class	ExtractCuboidParticlesTopN
class	FeatureRegistration
	Nodelet implementation of jsk_pcl/FeatureRegistration. More...
class	FindObjectOnPlane
class	FisheyeSpherePublisher
class	GeometricConsistencyGrouping
	Nodelet implementation of jsk_pcl/GeometricConsistencyGrouping. More...
class	GridSampler
class	HandleEstimator
class	HeightmapConverter
class	HeightmapMorphologicalFiltering
class	HeightmapTimeAccumulation
class	HeightmapToPointCloud
class	HintedHandleEstimator
class	HintedPlaneDetector
class	HintedStickFinder
class	HSIColorFilter
class	ICPRegistration
class	ImageRotateNodelet
class	IncrementalModelRegistration
class	InteractiveCuboidLikelihood
class	IntermittentImageAnnotator
class	JointStateStaticFilter
class	KeypointsPublisher
class	Kinfu
class	LINEMODDetector
class	LINEMODTrainer
class	LineSegment
class	LineSegmentCluster
class	LineSegmentCollector
class	LineSegmentDetector
class	MaskImageClusterFilter
class	MaskImageFilter
class	MaskImageToDepthConsideredMaskImage
class	MaskImageToPointIndices
class	MultiPlaneExtraction
class	MultiPlaneSACSegmentation
class	NormalConcatenater
class	NormalDirectionFilter
class	NormalEstimationIntegralImage
class	NormalEstimationOMP
class	NormalFlipToFrame
class	OctreeChangePublisher
class	OneDataStat
	class to store sensor value and compute mean, error and stddev and so on. More...
class	OrganizedEdgeDetector
class	OrganizedMultiPlaneSegmentation
class	OrganizedPassThrough
class	OrganizedPointCloudToPointIndices
class	OrganizePointCloud
class	ParallelEdgeFinder
class	ParticleFilterTracking
class	PCDReaderWithPose
class	PlanarCubeHypothesis
class	PlanarPointCloudSimulator
	Utility class to generate pointcloud of depth camera and stereo camera. More...
class	PlanarPointCloudSimulatorNodelet
	Nodelet implementation of jsk_pcl/PlanarPointCloudSimulator. More...
class	PlaneConcatenator
class	PlaneReasoner
class	PlaneRejector
class	PlaneSupportedCuboidEstimator
class	PointCloudData
class	PointcloudDatabaseServer
class	PointCloudLocalization
class	PointCloudMoveitFilter
class	PointcloudScreenpoint
class	PointCloudToClusterPointIndices
class	PointCloudToSTL
class	PointIndicesToMaskImage
class	PolygonAppender
class	PolygonArrayAngleLikelihood
class	PolygonArrayAreaLikelihood
class	PolygonArrayDistanceLikelihood
class	PolygonArrayTransformer
class	PolygonArrayWrapper
class	PolygonFlipper
class	PolygonMagnifier
class	PolygonPointsSampler
class	PoseWithCovarianceStampedToGaussianPointCloud
class	RegionAdjacencyGraph
class	RegionGrowingMultiplePlaneSegmentation
class	RegionGrowingSegmentation
class	ResizePointsPublisher
class	RGBColorFilter
class	ROIClipper
class	SelectedClusterPublisher
class	SnapIt
class	SnapshotInformation
class	SphericalPointCloudSimulator
	This is a class for jsk_pcl/SphericalPointCloudSimulator nodelet. More...
class	StampedJointAngle
class	StaticPolygonArrayPublisher
class	SupervoxelSegmentation
class	TfTransformBoundingBox
class	TfTransformBoundingBoxArray
class	TfTransformCloud
class	TiltLaserListener
class	TimeStampedVector
class	TorusFinder
class	TransformPointcloudInBoundingBox
class	UniformSampling
class	ViewpointSampler
class	VoxelGridDownsampleDecoder
class	VoxelGridDownsampleManager
Typedefs
typedef boost::tuple < pcl::ModelCoefficients::Ptr, pcl::ModelCoefficients::Ptr >	CoefficientsPair
typedef boost::tuple < pcl::ModelCoefficients::Ptr, pcl::ModelCoefficients::Ptr, pcl::ModelCoefficients::Ptr >	CoefficientsTriple
typedef boost::tuple < IndicesTriple, CoefficientsTriple >	IndicesCoefficientsTriple
typedef boost::tuple < pcl::PointIndices::Ptr, pcl::PointIndices::Ptr >	IndicesPair
typedef boost::tuple < pcl::PointIndices::Ptr, pcl::PointIndices::Ptr, pcl::PointIndices::Ptr >	IndicesTriple
typedef boost::tuple < pcl::PointIndices::Ptr, pcl::ModelCoefficients::Ptr, Plane::Ptr, geometry_msgs::PolygonStamped >	PlaneInfoContainer
typedef occupancy_map_monitor::ShapeHandle	ShapeHandle
typedef occupancy_map_monitor::ShapeTransformCache	ShapeTransformCache
Functions
double	binaryLikelihood (double v, double min, double max)
	return 1.0 if v satisfies min < v < max, return 0 otherwise.
template<class PARTICLE_T >
bool	compareParticleWeight (const PARTICLE_T &a, const PARTICLE_T &b)
template<class Config >
double	computeLikelihood (const pcl::tracking::ParticleCuboid &p, pcl::PointCloud< pcl::PointXYZ >::ConstPtr cloud, pcl::KdTreeFLANN< pcl::PointXYZ > &tree, const Eigen::Vector3f &viewpoint, const std::vector< Polygon::Ptr > &polygons, const std::vector< float > &polygon_likelihood, const Config &config)
double	count (const OneDataStat &d)
	wrapper function for count method for boost::function
template<class Config >
double	distanceFromPlaneBasedError (const pcl::tracking::ParticleCuboid &p, pcl::PointCloud< pcl::PointXYZ >::ConstPtr cloud, pcl::KdTreeFLANN< pcl::PointXYZ > &tree, const Eigen::Vector3f &viewpoint, const Config &config)
std::string	getHeightmapConfigTopic (const std::string &base_topic)
double	max (const OneDataStat &d)
	wrapper function for max method for boost::function
double	mean (const OneDataStat &d)
	wrapper function for mean method for boost::function
double	min (const OneDataStat &d)
	wrapper function for min method for boost::function
template<class Config >
double	planeLikelihood (const pcl::tracking::ParticleCuboid &p, const std::vector< float > &polygon_likelihood, const Config &config)
void	PointCloudXYZRGBtoXYZI (pcl::PointCloud< pcl::PointXYZRGB > &in, pcl::PointCloud< pcl::PointXYZI > &out)
void	PointXYZRGBtoXYZI (pcl::PointXYZRGB &in, pcl::PointXYZI &out)
template<class Config >
double	rangeLikelihood (const pcl::tracking::ParticleCuboid &p, pcl::PointCloud< pcl::PointXYZ >::ConstPtr cloud, const std::vector< Polygon::Ptr > &planes, const Config &config)
double	stddev (const OneDataStat &d)
	wrapper function for stddev method for boost::function
template<class Config >
double	supportPlaneAngularLikelihood (const pcl::tracking::ParticleCuboid &p, const std::vector< Polygon::Ptr > &planes, const Config &config)
template<class Config >
double	surfaceAreaLikelihood (const pcl::tracking::ParticleCuboid &p, const Config &config)
template<class PointT >
void	transformPointcloudInBoundingBox (const jsk_recognition_msgs::BoundingBox &box_msg, const sensor_msgs::PointCloud2 &cloud_msg, pcl::PointCloud< PointT > &output, Eigen::Affine3f &offset, tf::TransformListener &tf_listener)
double	variance (const OneDataStat &d)
	wrapper function for variance method for boost::function

Typedef Documentation

typedef boost::tuple<pcl::ModelCoefficients::Ptr, pcl::ModelCoefficients::Ptr> jsk_pcl_ros::CoefficientsPair

Definition at line 70 of file edgebased_cube_finder.h.

typedef boost::tuple<pcl::ModelCoefficients::Ptr, pcl::ModelCoefficients::Ptr, pcl::ModelCoefficients::Ptr> jsk_pcl_ros::CoefficientsTriple

Definition at line 75 of file edgebased_cube_finder.h.

typedef boost::tuple<IndicesTriple, CoefficientsTriple> jsk_pcl_ros::IndicesCoefficientsTriple

Definition at line 77 of file edgebased_cube_finder.h.

typedef boost::tuple<pcl::PointIndices::Ptr, pcl::PointIndices::Ptr> jsk_pcl_ros::IndicesPair

Definition at line 68 of file edgebased_cube_finder.h.

typedef boost::tuple<pcl::PointIndices::Ptr, pcl::PointIndices::Ptr, pcl::PointIndices::Ptr> jsk_pcl_ros::IndicesTriple

Definition at line 73 of file edgebased_cube_finder.h.

typedef boost::tuple<pcl::PointIndices::Ptr, pcl::ModelCoefficients::Ptr, Plane::Ptr, geometry_msgs::PolygonStamped> jsk_pcl_ros::PlaneInfoContainer

Definition at line 61 of file plane_reasoner.h.

typedef occupancy_map_monitor::ShapeHandle jsk_pcl_ros::ShapeHandle

Definition at line 57 of file pointcloud_moveit_filter.h.

typedef occupancy_map_monitor::ShapeTransformCache jsk_pcl_ros::ShapeTransformCache

Definition at line 58 of file pointcloud_moveit_filter.h.

Function Documentation

double jsk_pcl_ros::binaryLikelihood	(	double	v,
		double	min,
		double	max
	)		`[inline]`

return 1.0 if v satisfies min < v < max, return 0 otherwise.

Definition at line 75 of file plane_supported_cuboid_estimator.h.

template<class PARTICLE_T >

bool jsk_pcl_ros::compareParticleWeight	(	const PARTICLE_T &	a,
		const PARTICLE_T &	b
	)

Definition at line 54 of file extract_cuboid_particles_top_n.h.

template<class Config >

double jsk_pcl_ros::computeLikelihood	(	const pcl::tracking::ParticleCuboid &	p,
		pcl::PointCloud< pcl::PointXYZ >::ConstPtr	cloud,
		pcl::KdTreeFLANN< pcl::PointXYZ > &	tree,
		const Eigen::Vector3f &	viewpoint,
		const std::vector< Polygon::Ptr > &	polygons,
		const std::vector< float > &	polygon_likelihood,
		const Config &	config
	)

Definition at line 219 of file plane_supported_cuboid_estimator.h.

double jsk_pcl_ros::count ( const OneDataStat & d )

wrapper function for count method for boost::function

Definition at line 112 of file one_data_stat.h.

template<class Config >

double jsk_pcl_ros::distanceFromPlaneBasedError	(	const pcl::tracking::ParticleCuboid &	p,
		pcl::PointCloud< pcl::PointXYZ >::ConstPtr	cloud,
		pcl::KdTreeFLANN< pcl::PointXYZ > &	tree,
		const Eigen::Vector3f &	viewpoint,
		const Config &	config
	)

Definition at line 148 of file plane_supported_cuboid_estimator.h.

std::string jsk_pcl_ros::getHeightmapConfigTopic ( const std::string & base_topic ) [inline]

Definition at line 44 of file heightmap_utils.h.

double jsk_pcl_ros::max ( const OneDataStat & d )

wrapper function for max method for boost::function

Definition at line 103 of file one_data_stat.h.

double jsk_pcl_ros::mean ( const OneDataStat & d )

wrapper function for mean method for boost::function

Definition at line 85 of file one_data_stat.h.

double jsk_pcl_ros::min ( const OneDataStat & d )

wrapper function for min method for boost::function

Definition at line 94 of file one_data_stat.h.

template<class Config >

double jsk_pcl_ros::planeLikelihood	(	const pcl::tracking::ParticleCuboid &	p,
		const std::vector< float > &	polygon_likelihood,
		const Config &	config
	)

Definition at line 206 of file plane_supported_cuboid_estimator.h.

void jsk_pcl_ros::PointCloudXYZRGBtoXYZI	(	pcl::PointCloud< pcl::PointXYZRGB > &	in,
		pcl::PointCloud< pcl::PointXYZI > &	out
	)		`[inline]`

Definition at line 63 of file bilateral_filter.h.

void jsk_pcl_ros::PointXYZRGBtoXYZI	(	pcl::PointXYZRGB &	in,
		pcl::PointXYZI &	out
	)		`[inline]`

Definition at line 54 of file bilateral_filter.h.

template<class Config >

double jsk_pcl_ros::rangeLikelihood	(	const pcl::tracking::ParticleCuboid &	p,
		pcl::PointCloud< pcl::PointXYZ >::ConstPtr	cloud,
		const std::vector< Polygon::Ptr > &	planes,
		const Config &	config
	)

Definition at line 89 of file plane_supported_cuboid_estimator.h.

double jsk_pcl_ros::stddev ( const OneDataStat & d )

wrapper function for stddev method for boost::function

Definition at line 130 of file one_data_stat.h.

template<class Config >

double jsk_pcl_ros::supportPlaneAngularLikelihood	(	const pcl::tracking::ParticleCuboid &	p,
		const std::vector< Polygon::Ptr > &	planes,
		const Config &	config
	)

Definition at line 115 of file plane_supported_cuboid_estimator.h.

template<class Config >

double jsk_pcl_ros::surfaceAreaLikelihood	(	const pcl::tracking::ParticleCuboid &	p,
		const Config &	config
	)

Definition at line 134 of file plane_supported_cuboid_estimator.h.

template<class PointT >

void jsk_pcl_ros::transformPointcloudInBoundingBox	(	const jsk_recognition_msgs::BoundingBox &	box_msg,
		const sensor_msgs::PointCloud2 &	cloud_msg,
		pcl::PointCloud< PointT > &	output,
		Eigen::Affine3f &	offset,
		tf::TransformListener &	tf_listener
	)

Definition at line 53 of file transform_pointcloud_in_bounding_box.h.

double jsk_pcl_ros::variance ( const OneDataStat & d )

wrapper function for variance method for boost::function

Definition at line 121 of file one_data_stat.h.

Classes

Typedefs

Functions

Typedef Documentation

Function Documentation