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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) |
| | Constructor. More...
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| void | setColorHalfGridSize (const std::size_t chgs) |
| | Set the color half grid size. More...
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| void | setColorHistsSize (const std::size_t chs) |
| | 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) |
| | 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) |
| | Constructor. More...
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| void | setViewDirection (const Eigen::Vector3f &dir) |
| | Set the view direction. More...
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| void | setShapeHalfGridSize (const std::size_t shgs) |
| | Set the shape half grid size. More...
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| void | setShapeHistsSize (const std::size_t shs) |
| | Set the shape histograms size. More...
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| void | setShapeHistsInterpMethod (const HistogramInterpolationMethod interp) |
| | Set the shape histograms interpolation method. More...
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| const Eigen::Matrix4f & | getTransform () const |
| | Returns the transformation aligning the point cloud to the canonical coordinate system. More...
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| void | compute (PointCloudOut &output) |
| | Overloaded computed method from pcl::Feature. More...
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| | Feature () |
| | Empty constructor. More...
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| virtual | ~Feature () |
| | Empty destructor. More...
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| void | setSearchSurface (const PointCloudInConstPtr &cloud) |
| | 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 |
| | Get a pointer to the surface point cloud dataset. More...
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| void | setSearchMethod (const KdTreePtr &tree) |
| | Provide a pointer to the search object. More...
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| KdTreePtr | getSearchMethod () const |
| | Get a pointer to the search method used. More...
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| double | getSearchParameter () const |
| | Get the internal search parameter. More...
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| void | setKSearch (int k) |
| | Set the number of k nearest neighbors to use for the feature estimation. More...
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| int | getKSearch () const |
| | get the number of k nearest neighbors used for the feature estimation. More...
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| void | setRadiusSearch (double radius) |
| | 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 |
| | Get the sphere radius used for determining the neighbors. More...
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| void | compute (PointCloudOut &output) |
| | 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 () |
| | Empty constructor. More...
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| | PCLBase (const PCLBase &base) |
| | Copy constructor. More...
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| virtual | ~PCLBase ()=default |
| | Destructor. More...
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| virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
| | Provide a pointer to the input dataset. More...
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| const PointCloudConstPtr | getInputCloud () const |
| | Get a pointer to the input point cloud dataset. More...
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| virtual void | setIndices (const IndicesPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data. More...
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| virtual void | setIndices (const IndicesConstPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data. More...
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| virtual void | setIndices (const PointIndicesConstPtr &indices) |
| | 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) |
| | Set the indices for the points laying within an interest region of the point cloud. More...
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| IndicesPtr | getIndices () |
| | Get a pointer to the vector of indices used. More...
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| const IndicesConstPtr | getIndices () const |
| | Get a pointer to the vector of indices used. More...
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| const PointInT & | operator[] (std::size_t pos) const |
| | 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) |
| | add a sample to its respective histogram, optionally performing interpolation. More...
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| void | computeFeature (PointCloudOut &output) override |
| | Estimate GASD descriptor. More...
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| const std::string & | getClassName () const |
| | Get a string representation of the name of this class. More...
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| virtual bool | initCompute () |
| | This method should get called before starting the actual computation. More...
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| virtual bool | deinitCompute () |
| | 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 |
| | 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 |
| | Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
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| bool | initCompute () |
| | This method should get called before starting the actual computation. More...
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| bool | deinitCompute () |
| | This method should get called after finishing the actual computation. More...
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| PointCloudIn | shape_samples_ |
| | Point cloud aligned to the canonical coordinate system. More...
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| float | max_coord_ |
| | Normalization factor with respect to axis-aligned bounding cube centered on the origin. More...
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| float | hist_incr_ |
| | Normalized sample contribution with respect to the total number of points in the cloud. More...
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| std::size_t | pos_ |
| | Current position of output descriptor point cloud. More...
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| std::string | feature_name_ |
| | The feature name. More...
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| SearchMethodSurface | search_method_surface_ |
| | The search method template for points. More...
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| PointCloudInConstPtr | surface_ |
| | An input point cloud describing the surface that is to be used for nearest neighbors estimation. More...
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| KdTreePtr | tree_ |
| | A pointer to the spatial search object. More...
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| double | search_parameter_ |
| | The actual search parameter (from either search_radius_ or k_). More...
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| double | search_radius_ |
| | The nearest neighbors search radius for each point. More...
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| int | k_ |
| | The number of K nearest neighbors to use for each point. More...
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| bool | fake_surface_ |
| | If no surface is given, we use the input PointCloud as the surface. More...
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| PointCloudConstPtr | input_ |
| | The input point cloud dataset. More...
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| IndicesPtr | indices_ |
| | A pointer to the vector of point indices to use. More...
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| bool | use_indices_ |
| | Set to true if point indices are used. More...
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| bool | fake_indices_ |
| | 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.