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Point Cloud Library (PCL)
1.6.0
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Based on the paper: Xinju Li and Igor Guskov Multi-scale features for approximate alignment of point-based surfaces Proceedings of the third Eurographics symposium on Geometry processing July 2005, Vienna, Austria. More...
#include <pcl/keypoints/smoothed_surfaces_keypoint.h>


Public Member Functions | |
| SmoothedSurfacesKeypoint () | |
| void | addSmoothedPointCloud (const PointCloudTConstPtr &cloud, const PointCloudNTConstPtr &normals, KdTreePtr &kdtree, float &scale) |
| void | resetClouds () |
| void | setNeighborhoodConstant (float neighborhood_constant) |
| float | getNeighborhoodConstant () |
| void | setInputNormals (const PointCloudNTConstPtr &normals) |
| void | setInputScale (float input_scale) |
| void | detectKeypoints (PointCloudT &output) |
| virtual void | setSearchSurface (const PointCloudInConstPtr &cloud) |
| Provide a pointer to the input dataset that we need to estimate features at every point for. More... | |
| PointCloudInConstPtr | getSearchSurface () |
| Get a pointer to the surface point cloud dataset. More... | |
| void | setSearchMethod (const KdTreePtr &tree) |
| Provide a pointer to the search object. More... | |
| KdTreePtr | getSearchMethod () |
| Get a pointer to the search method used. More... | |
| double | getSearchParameter () |
| Get the internal search parameter. More... | |
| void | setKSearch (int k) |
| Set the number of k nearest neighbors to use for the feature estimation. More... | |
| int | getKSearch () |
| get the number of k nearest neighbors used for the feature estimation. More... | |
| void | setRadiusSearch (double radius) |
| Set the sphere radius that is to be used for determining the nearest neighbors used for the key point detection. More... | |
| double | getRadiusSearch () |
| Get the sphere radius used for determining the neighbors. More... | |
| void | compute (PointCloudOut &output) |
| Base method for key point detection for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () More... | |
| int | searchForNeighbors (int index, double parameter, std::vector< int > &indices, std::vector< float > &distances) const |
| Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More... | |
| virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
| Provide a pointer to the input dataset. More... | |
| PointCloudConstPtr const | getInputCloud () |
| Get a pointer to the input point cloud dataset. More... | |
| void | setIndices (const IndicesPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| void | setIndices (const IndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| void | setIndices (const PointIndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| void | setIndices (size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols) |
| Set the indices for the points laying within an interest region of the point cloud. More... | |
| IndicesPtr const | getIndices () |
| Get a pointer to the vector of indices used. More... | |
| const PointT & | operator[] (size_t pos) |
| Override PointCloud operator[] to shorten code. More... | |
Based on the paper: Xinju Li and Igor Guskov Multi-scale features for approximate alignment of point-based surfaces Proceedings of the third Eurographics symposium on Geometry processing July 2005, Vienna, Austria.
Definition at line 55 of file smoothed_surfaces_keypoint.h.
Definition at line 61 of file keypoint.h.
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inherited |
Definition at line 62 of file keypoint.h.
| typedef Keypoint<PointT, PointT>::KdTreePtr pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::KdTreePtr |
Definition at line 68 of file smoothed_surfaces_keypoint.h.
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inherited |
Definition at line 74 of file pcl_base.h.
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inherited |
Definition at line 76 of file pcl_base.h.
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inherited |
Definition at line 64 of file keypoint.h.
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inherited |
Definition at line 66 of file keypoint.h.
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inherited |
Definition at line 65 of file keypoint.h.
| typedef pcl::PointCloud<PointNT> pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudNT |
Definition at line 65 of file smoothed_surfaces_keypoint.h.
| typedef PointCloudNT::ConstPtr pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudNTConstPtr |
Definition at line 66 of file smoothed_surfaces_keypoint.h.
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inherited |
Definition at line 67 of file keypoint.h.
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inherited |
Definition at line 75 of file pcl_base.h.
| typedef pcl::PointCloud<PointT> pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudT |
Definition at line 63 of file smoothed_surfaces_keypoint.h.
| typedef PointCloudT::ConstPtr pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudTConstPtr |
Definition at line 64 of file smoothed_surfaces_keypoint.h.
| typedef PointCloudT::Ptr pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudTPtr |
Definition at line 67 of file smoothed_surfaces_keypoint.h.
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inherited |
Definition at line 79 of file pcl_base.h.
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inherited |
Definition at line 78 of file pcl_base.h.
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inherited |
Definition at line 68 of file keypoint.h.
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inherited |
Definition at line 69 of file keypoint.h.
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inline |
Definition at line 70 of file smoothed_surfaces_keypoint.h.
| void pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::addSmoothedPointCloud | ( | const PointCloudTConstPtr & | cloud, |
| const PointCloudNTConstPtr & | normals, | ||
| KdTreePtr & | kdtree, | ||
| float & | scale | ||
| ) |
Definition at line 48 of file smoothed_surfaces_keypoint.hpp.
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inlineinherited |
Base method for key point detection for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()
| output | the resultant point cloud model dataset containing the estimated features |
| void pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints | ( | PointCloudT & | output | ) |
Definition at line 72 of file smoothed_surfaces_keypoint.hpp.
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inlineinherited |
Get a pointer to the vector of indices used.
Definition at line 190 of file pcl_base.h.
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inlineinherited |
Get a pointer to the input point cloud dataset.
Definition at line 107 of file pcl_base.h.
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inlineinherited |
get the number of k nearest neighbors used for the feature estimation.
Definition at line 117 of file keypoint.h.
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inline |
Definition at line 101 of file smoothed_surfaces_keypoint.h.
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inlineinherited |
Get the sphere radius used for determining the neighbors.
Definition at line 128 of file keypoint.h.
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inlineinherited |
Get a pointer to the search method used.
Definition at line 103 of file keypoint.h.
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inlineinherited |
Get the internal search parameter.
Definition at line 107 of file keypoint.h.
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inlineinherited |
Get a pointer to the surface point cloud dataset.
Definition at line 93 of file keypoint.h.
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inlineinherited |
Override PointCloud operator[] to shorten code.
| pos | position in indices_ vector |
Definition at line 197 of file pcl_base.h.
| void pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::resetClouds | ( | ) |
Definition at line 62 of file smoothed_surfaces_keypoint.hpp.
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inlineinherited |
Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface.
| index | the index of the query point |
| parameter | the search parameter (either k or radius) |
| indices | the resultant vector of indices representing the k-nearest neighbors |
| distances | the resultant vector of distances representing the distances from the query point to the k-nearest neighbors |
Definition at line 146 of file keypoint.h.
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inlineinherited |
Provide a pointer to the vector of indices that represents the input data.
| indices | a pointer to the vector of indices that represents the input data. |
Definition at line 113 of file pcl_base.h.
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inlineinherited |
Provide a pointer to the vector of indices that represents the input data.
| indices | a pointer to the vector of indices that represents the input data. |
Definition at line 124 of file pcl_base.h.
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inlineinherited |
Provide a pointer to the vector of indices that represents the input data.
| indices | a pointer to the vector of indices that represents the input data. |
Definition at line 135 of file pcl_base.h.
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inlineinherited |
Set the indices for the points laying within an interest region of the point cloud.
| row_start | the offset on rows |
| col_start | the offset on columns |
| nb_rows | the number of rows to be considered row_start included |
| nb_cols | the number of columns to be considered col_start included |
Definition at line 151 of file pcl_base.h.
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inlinevirtualinherited |
Provide a pointer to the input dataset.
| cloud | the const boost shared pointer to a PointCloud message |
Reimplemented in pcl::PCA< PointT >.
Definition at line 103 of file pcl_base.h.
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inline |
Definition at line 104 of file smoothed_surfaces_keypoint.h.
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inline |
Definition at line 107 of file smoothed_surfaces_keypoint.h.
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inlineinherited |
Set the number of k nearest neighbors to use for the feature estimation.
| k | the number of k-nearest neighbors |
Definition at line 113 of file keypoint.h.
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inline |
Definition at line 98 of file smoothed_surfaces_keypoint.h.
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inlineinherited |
Set the sphere radius that is to be used for determining the nearest neighbors used for the key point detection.
| radius | the sphere radius used as the maximum distance to consider a point a neighbor |
Definition at line 124 of file keypoint.h.
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inlineinherited |
Provide a pointer to the search object.
| tree | a pointer to the spatial search object. |
Definition at line 99 of file keypoint.h.
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inlinevirtualinherited |
Provide a pointer to the input dataset that we need to estimate features at every point for.
| cloud | the const boost shared pointer to a PointCloud message |
Definition at line 89 of file keypoint.h.
1.8.3.1