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using | Ptr = shared_ptr< PPFRGBRegionEstimation< PointInT, PointNT, PointOutT > > |
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using | ConstPtr = shared_ptr< const PPFRGBRegionEstimation< PointInT, PointNT, PointOutT > > |
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using | PointCloudOut = pcl::PointCloud< PointOutT > |
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using | PointCloudN = pcl::PointCloud< PointNT > |
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using | PointCloudNPtr = typename PointCloudN::Ptr |
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using | PointCloudNConstPtr = typename PointCloudN::ConstPtr |
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using | Ptr = shared_ptr< FeatureFromNormals< PointInT, PointNT, PointOutT > > |
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using | ConstPtr = shared_ptr< const FeatureFromNormals< PointInT, PointNT, PointOutT > > |
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using | BaseClass = PCLBase< PointInT > |
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using | Ptr = shared_ptr< Feature< PointInT, PointOutT > > |
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using | ConstPtr = shared_ptr< const Feature< PointInT, PointOutT > > |
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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< PointOutT > |
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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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virtual bool | initCompute () |
| This method should get called before starting the actual computation. 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 | 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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PointCloudNConstPtr | normals_ |
| A pointer to the input dataset that contains the point normals of the XYZ dataset. 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 PointNT, typename PointOutT>
class pcl::PPFRGBRegionEstimation< PointInT, PointNT, PointOutT >
Definition at line 71 of file ppfrgb.h.