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| using |
Ptr = shared_ptr< GASDColorEstimation< PointInT, PointOutT > > |
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| using |
ConstPtr = shared_ptr< const GASDColorEstimation< PointInT, PointOutT > > |
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| using |
Ptr = shared_ptr< GASDEstimation< PointInT, GASDSignature984 > > |
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| using |
ConstPtr = shared_ptr< const GASDEstimation< PointInT, GASDSignature984 > > |
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| using |
BaseClass = PCLBase< PointInT > |
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| using |
Ptr = shared_ptr< Feature< PointInT, GASDSignature984 > > |
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| using |
ConstPtr = shared_ptr< const Feature< PointInT, GASDSignature984 > > |
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| using |
KdTree = pcl::search::Search< PointInT > |
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| using |
KdTreePtr = typename KdTree::Ptr
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| using |
PointCloudIn = pcl::PointCloud< PointInT > |
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| using |
PointCloudInPtr = typename PointCloudIn::Ptr
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| using |
PointCloudInConstPtr = typename PointCloudIn::ConstPtr
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| using |
PointCloudOut = pcl::PointCloud< GASDSignature984 > |
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| using |
SearchMethod = std::function< int(std::size_t, double, pcl::Indices &, std::vector< float > &)> |
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| using |
SearchMethodSurface = std::function< int(const PointCloudIn &cloud, std::size_t index, double, pcl::Indices &, std::vector< float > &)> |
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| using |
PointCloud = pcl::PointCloud< PointInT > |
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| using |
PointCloudPtr = typename PointCloud::Ptr
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| using |
PointCloudConstPtr = typename PointCloud::ConstPtr
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| using |
PointIndicesPtr = PointIndices::Ptr
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| using |
PointIndicesConstPtr = PointIndices::ConstPtr
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GASDColorEstimation (const Eigen::Vector3f &view_direction=Eigen::Vector3f(0.0f, 0.0f, 1.0f), const std::size_t shape_half_grid_size=3, const std::size_t shape_hists_size=1, const std::size_t color_half_grid_size=2, const std::size_t color_hists_size=12, const HistogramInterpolationMethod shape_interp=INTERP_NONE, const HistogramInterpolationMethod color_interp=INTERP_NONE) |
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Constructor. More...
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| void |
setColorHalfGridSize (const std::size_t chgs) |
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Set the color half grid size. More...
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| void |
setColorHistsSize (const std::size_t chs) |
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Set the color histograms size (number of bins in the hue histogram for each cell of the 3D regular grid). More...
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| void |
setColorHistsInterpMethod (const HistogramInterpolationMethod interp) |
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Set the color histograms interpolation method. More...
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GASDEstimation (const Eigen::Vector3f &view_direction=Eigen::Vector3f(0.0f, 0.0f, 1.0f), const std::size_t shape_half_grid_size=4, const std::size_t shape_hists_size=1, const HistogramInterpolationMethod shape_interp=INTERP_TRILINEAR) |
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Constructor. More...
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| void |
setViewDirection (const Eigen::Vector3f &dir) |
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Set the view direction. More...
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| void |
setShapeHalfGridSize (const std::size_t shgs) |
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Set the shape half grid size. More...
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| void |
setShapeHistsSize (const std::size_t shs) |
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Set the shape histograms size. More...
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| void |
setShapeHistsInterpMethod (const HistogramInterpolationMethod interp) |
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Set the shape histograms interpolation method. More...
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| const Eigen::Matrix4f & |
getTransform () const |
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Returns the transformation aligning the point cloud to the canonical coordinate system. More...
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| void |
compute (PointCloudOut &output) |
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Overloaded computed method from pcl::Feature. More...
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Feature () |
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Empty constructor. More...
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| virtual |
~Feature () |
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Empty destructor. More...
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| void |
setSearchSurface (const PointCloudInConstPtr &cloud) |
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Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset. More...
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PointCloudInConstPtr |
getSearchSurface () const |
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Get a pointer to the surface point cloud dataset. More...
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| void |
setSearchMethod (const KdTreePtr &tree) |
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Provide a pointer to the search object. More...
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KdTreePtr |
getSearchMethod () const |
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Get a pointer to the search method used. More...
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| double |
getSearchParameter () const |
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Get the internal search parameter. More...
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| void |
setKSearch (int k) |
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Set the number of k nearest neighbors to use for the feature estimation. More...
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| int |
getKSearch () const |
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get the number of k nearest neighbors used for the feature estimation. More...
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| void |
setRadiusSearch (double radius) |
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Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. More...
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| double |
getRadiusSearch () const |
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Get the sphere radius used for determining the neighbors. More...
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| void |
compute (PointCloudOut &output) |
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Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () More...
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PCLBase () |
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Empty constructor. More...
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PCLBase (const PCLBase &base) |
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Copy constructor. More...
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| virtual |
~PCLBase ()=default |
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Destructor. More...
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| virtual void |
setInputCloud (const PointCloudConstPtr &cloud) |
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Provide a pointer to the input dataset. More...
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| const PointCloudConstPtr |
getInputCloud () const |
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Get a pointer to the input point cloud dataset. More...
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| virtual void |
setIndices (const IndicesPtr &indices) |
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Provide a pointer to the vector of indices that represents the input data. More...
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| virtual void |
setIndices (const IndicesConstPtr &indices) |
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Provide a pointer to the vector of indices that represents the input data. More...
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| virtual void |
setIndices (const PointIndicesConstPtr &indices) |
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Provide a pointer to the vector of indices that represents the input data. More...
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| virtual void |
setIndices (std::size_t row_start, std::size_t col_start, std::size_t nb_rows, std::size_t nb_cols) |
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Set the indices for the points laying within an interest region of the point cloud. More...
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IndicesPtr |
getIndices () |
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Get a pointer to the vector of indices used. More...
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| const IndicesConstPtr |
getIndices () const |
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Get a pointer to the vector of indices used. More...
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| const PointInT & |
operator[] (std::size_t pos) const |
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Override PointCloud operator[] to shorten code. More...
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| void |
addSampleToHistograms (const Eigen::Vector4f &p, const float max_coord, const std::size_t half_grid_size, const HistogramInterpolationMethod interp, const float hbin, const float hist_incr, std::vector< Eigen::VectorXf > &hists) |
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add a sample to its respective histogram, optionally performing interpolation. More...
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| void |
computeFeature (PointCloudOut &output) override |
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Estimate GASD descriptor. More...
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| const std::string & |
getClassName () const |
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Get a string representation of the name of this class. More...
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| virtual bool |
initCompute () |
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This method should get called before starting the actual computation. More...
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| virtual bool |
deinitCompute () |
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This method should get called after ending the actual computation. More...
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| int |
searchForNeighbors (std::size_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const |
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Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
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| int |
searchForNeighbors (const PointCloudIn &cloud, std::size_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const |
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Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
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| bool |
initCompute () |
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This method should get called before starting the actual computation. More...
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| bool |
deinitCompute () |
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This method should get called after finishing the actual computation. More...
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PointCloudIn |
shape_samples_ |
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Point cloud aligned to the canonical coordinate system. More...
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| float |
max_coord_ |
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Normalization factor with respect to axis-aligned bounding cube centered on the origin. More...
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| float |
hist_incr_ |
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Normalized sample contribution with respect to the total number of points in the cloud. More...
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| std::size_t |
pos_ |
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Current position of output descriptor point cloud. More...
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| std::string |
feature_name_ |
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The feature name. More...
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SearchMethodSurface |
search_method_surface_ |
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The search method template for points. More...
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PointCloudInConstPtr |
surface_ |
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An input point cloud describing the surface that is to be used for nearest neighbors estimation. More...
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KdTreePtr |
tree_ |
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A pointer to the spatial search object. More...
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| double |
search_parameter_ |
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The actual search parameter (from either search_radius_ or k_). More...
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| double |
search_radius_ |
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The nearest neighbors search radius for each point. More...
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| int |
k_ |
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The number of K nearest neighbors to use for each point. More...
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| bool |
fake_surface_ |
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If no surface is given, we use the input PointCloud as the surface. More...
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PointCloudConstPtr |
input_ |
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The input point cloud dataset. More...
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IndicesPtr |
indices_ |
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A pointer to the vector of point indices to use. More...
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| bool |
use_indices_ |
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Set to true if point indices are used. More...
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| bool |
fake_indices_ |
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If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud. More...
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template<typename PointInT, typename PointOutT = GASDSignature984>
class pcl::GASDColorEstimation< PointInT, PointOutT >
GASDColorEstimation estimates the Globally Aligned Spatial Distribution (GASD) descriptor for a given point cloud dataset given XYZ and RGB data.
The suggested PointOutT is pcl::GASDSignature984.
- Note
- If you use this code in any academic work, please cite:
- J. Lima, V. Teichrieb. An Efficient Global Point Cloud Descriptor for Object Recognition and Pose Estimation. In Proceedings of the 29th SIBGRAPI - Conference on Graphics, Patterns and Images, Sao Jose dos Campos, Brazil, October 4-7 2016.
- Author
- Joao Paulo Lima
Voxar Labs, Centro de Informatica, Universidade Federal de Pernambuco, Brazil
Departamento de Estatistica e Informatica, Universidade Federal Rural de Pernambuco, Brazil
Definition at line 256 of file gasd.h.