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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 |
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using | PointCloudPtr |
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using | PointCloudConstPtr |
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using | PointIndicesPtr |
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using | PointIndicesConstPtr |
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virtual bool | initCompute () |
| This method should get called before starting the actual computation.
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const std::string & | getClassName () const |
| Get a string representation of the name of this class.
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virtual bool | deinitCompute () |
| This method should get called after ending the actual computation.
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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.
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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.
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bool | initCompute () |
| This method should get called before starting the actual computation.
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bool | deinitCompute () |
| This method should get called after finishing the actual computation.
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PointCloudNConstPtr | normals_ |
| A pointer to the input dataset that contains the point normals of the XYZ dataset.
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std::string | feature_name_ |
| The feature name.
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SearchMethodSurface | search_method_surface_ |
| The search method template for points.
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PointCloudInConstPtr | surface_ |
| An input point cloud describing the surface that is to be used for nearest neighbors estimation.
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KdTreePtr | tree_ |
| A pointer to the spatial search object.
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double | search_parameter_ |
| The actual search parameter (from either search_radius_ or k_).
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double | search_radius_ |
| The nearest neighbors search radius for each point.
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int | k_ |
| The number of K nearest neighbors to use for each point.
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bool | fake_surface_ |
| If no surface is given, we use the input PointCloud as the surface.
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PointCloudConstPtr | input_ |
| The input point cloud dataset.
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IndicesPtr | indices_ |
| A pointer to the vector of point indices to use.
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bool | use_indices_ |
| Set to true if point indices are used.
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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.
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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.