Classes
class	AddColorFromImage
class	AddColorFromImageToOrganized
class	AttentionClipper
class	BilateralFilter
class	BorderEstimator
class	BoundingBoxFilter
class	BoundingBoxOcclusionRejector
class	CapturedSamplePointCloud
class	CaptureStereoSynchronizer
class	ClusterPointIndicesDecomposer
class	ClusterPointIndicesDecomposerZAxis
class	CollisionDetector
class	ColorBasedRegionGrowingSegmentation
class	ColorFilter
class	ColorHistogram
class	ColorHistogramClassifier
class	ColorHistogramFilter
class	ColorHistogramMatcher
class	ColorizeMapRandomForest
class	ColorizeRandomForest
class	ConvexConnectedVoxels
class	CubeHypothesis
class	DepthCalibration
class	DepthImageCreator
class	DiagnoalCubeHypothesis
class	EdgebasedCubeFinder
class	EdgeDepthRefinement
class	EnvironmentPlaneModeling
	Nodelet implementation of jsk_pcl/EnvironmentPlaneModeling. More...
class	EuclideanClustering
class	ExtractCuboidParticlesTopN
class	ExtractIndices
class	FeatureRegistration
	Nodelet implementation of jsk_pcl/FeatureRegistration. More...
class	FindObjectOnPlane
class	FisheyeSpherePublisher
class	FuseDepthImages
class	FuseImages
class	FuseRGBImages
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	MovingLeastSquareSmoothing
class	MultiPlaneExtraction
class	MultiPlaneSACSegmentation
class	NormalDirectionFilter
class	NormalEstimationIntegralImage
class	NormalEstimationOMP
class	OctomapServerContact
class	OctreeChangePublisher
	Realtime change detection of pointcloud using octree. See paper below: More...
class	OctreeVoxelGrid
class	OneDataStat
	class to store sensor value and compute mean, error and stddev and so on. More...
class	OrganizedEdgeDetector
class	OrganizedMultiPlaneSegmentation
class	OrganizedPassThrough
class	OrganizePointCloud
class	ParallelEdgeFinder
class	ParticleFilterTracking
class	PeopleDetection
class	PlanarCubeHypothesis
class	PlaneSupportedCuboidEstimator
class	PointCloudData
class	PointcloudDatabaseServer
class	PointCloudLocalization
class	PointCloudMoveitFilter
class	PointcloudScreenpoint
class	PPFRegistration
class	PrimitiveShapeClassifier
class	RearrangeBoundingBox
class	RegionAdjacencyGraph
class	RegionGrowingMultiplePlaneSegmentation
class	RegionGrowingSegmentation
class	ResizePointsPublisher
class	RGBColorFilter
class	ROIClipper
class	SelectedClusterPublisher
class	SnapIt
class	SnapshotInformation
class	StampedJointAngle
class	SupervoxelSegmentation
class	TargetAdaptiveTracking
class	TiltLaserListener
class	TimeStampedVector
class	TorusFinder
class	UniformSampling
class	ViewpointSampler
class	VoxelGridDownsampleDecoder
class	VoxelGridDownsampleManager
class	VoxelGridLargeScale
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 pcl::PointXYZI	HeightMapPointType
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 pcl::PointXYZI	PointType
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)
void	convertHeightMapToPCL (const cv::Mat &float_image, pcl::PointCloud< HeightMapPointType > &cloud, float max_x_, float min_x_, float max_y_, float min_y_)
void	convertHeightMapToPCLOrganize (const cv::Mat &float_image, pcl::PointCloud< HeightMapPointType > &cloud, float max_x_, float min_x_, float max_y_, float min_y_)
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)
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 pcl::PointXYZI jsk_pcl_ros::HeightMapPointType

Definition at line 45 of file heightmap_utils.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 pcl::PointXYZI jsk_pcl_ros::PointType

Definition at line 63 of file heightmap_time_accumulation.h.

typedef occupancy_map_monitor::ShapeHandle jsk_pcl_ros::ShapeHandle

Definition at line 61 of file pointcloud_moveit_filter.h.

typedef occupancy_map_monitor::ShapeTransformCache jsk_pcl_ros::ShapeTransformCache

Definition at line 62 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 244 of file plane_supported_cuboid_estimator.h.

void jsk_pcl_ros::convertHeightMapToPCL	(	const cv::Mat &	float_image,
		pcl::PointCloud< HeightMapPointType > &	cloud,
		float	max_x_,
		float	min_x_,
		float	max_y_,
		float	min_y_
	)		`[inline]`

Definition at line 52 of file heightmap_utils.h.

void jsk_pcl_ros::convertHeightMapToPCLOrganize	(	const cv::Mat &	float_image,
		pcl::PointCloud< HeightMapPointType > &	cloud,
		float	max_x_,
		float	min_x_,
		float	max_y_,
		float	min_y_
	)		`[inline]`

Definition at line 77 of file heightmap_utils.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 149 of file plane_supported_cuboid_estimator.h.

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

Definition at line 47 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 231 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 135 of file plane_supported_cuboid_estimator.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