Point Cloud Library (PCL)
1.3.1
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#include <pcl/features/feature.h>
Public Types | |
typedef pcl::PointCloud< PointNT > | PointCloudN |
typedef PointCloudN::Ptr | PointCloudNPtr |
typedef PointCloudN::ConstPtr | PointCloudNConstPtr |
typedef boost::shared_ptr < FeatureFromNormals< PointInT, PointNT, PointOutT > > | Ptr |
typedef boost::shared_ptr < const FeatureFromNormals < PointInT, PointNT, PointOutT > > | ConstPtr |
typedef PCLBase< PointInT > | BaseClass |
typedef pcl::search::Search < PointInT > | KdTree |
typedef pcl::search::Search < PointInT >::Ptr | KdTreePtr |
typedef boost::function< int(size_t, double, std::vector< int > &, std::vector< float > &)> | SearchMethod |
typedef boost::function< int(const PointCloudIn &cloud, size_t index, double, std::vector < int > &, std::vector< float > &)> | SearchMethodSurface |
Public Member Functions | |
FeatureFromNormals () | |
Empty constructor. | |
void | setInputNormals (const PointCloudNConstPtr &normals) |
Provide a pointer to the input dataset that contains the point normals of the XYZ dataset. | |
PointCloudNConstPtr | getInputNormals () |
Get a pointer to the normals of the input XYZ point cloud dataset. | |
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. | |
PointCloudInConstPtr | getSearchSurface () |
Get a pointer to the surface point cloud dataset. | |
void | setSearchMethod (const KdTreePtr &tree) |
Provide a pointer to the search object. | |
KdTreePtr | getSearchMethod () |
Get a pointer to the search method used. | |
double | getSearchParameter () |
Get the internal search parameter. | |
void | setKSearch (int k) |
Set the number of k nearest neighbors to use for the feature estimation. | |
int | getKSearch () |
get the number of k nearest neighbors used for the feature estimation. | |
void | setRadiusSearch (double radius) |
Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. | |
double | getRadiusSearch () |
Get the sphere radius used for determining the neighbors. | |
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 () | |
int | searchForNeighbors (size_t 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. | |
int | searchForNeighbors (const PointCloudIn &cloud, size_t 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. |
typedef PCLBase<PointInT> pcl::Feature::BaseClass [inherited] |
typedef boost::shared_ptr< const FeatureFromNormals<PointInT, PointNT, PointOutT> > pcl::FeatureFromNormals::ConstPtr |
Reimplemented from pcl::Feature< PointInT, PointOutT >.
typedef pcl::search::Search<PointInT> pcl::Feature::KdTree [inherited] |
typedef pcl::search::Search<PointInT>::Ptr pcl::Feature::KdTreePtr [inherited] |
typedef pcl::PointCloud<PointNT> pcl::FeatureFromNormals::PointCloudN |
Reimplemented in pcl::SpinImageEstimation.
Reimplemented in pcl::SpinImageEstimation.
Reimplemented in pcl::SpinImageEstimation.
typedef boost::shared_ptr< FeatureFromNormals<PointInT, PointNT, PointOutT> > pcl::FeatureFromNormals::Ptr |
Reimplemented from pcl::Feature< PointInT, PointOutT >.
typedef boost::function<int (size_t, double, std::vector<int> &, std::vector<float> &)> pcl::Feature::SearchMethod [inherited] |
typedef boost::function<int (const PointCloudIn &cloud, size_t index, double, std::vector<int> &, std::vector<float> &)> pcl::Feature::SearchMethodSurface [inherited] |
pcl::FeatureFromNormals::FeatureFromNormals | ( | ) | [inline] |
void pcl::Feature::compute | ( | PointCloudOut & | output | ) | [inherited] |
Base method for feature estimation 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 |
PointCloudNConstPtr pcl::FeatureFromNormals::getInputNormals | ( | ) | [inline] |
int pcl::Feature::getKSearch | ( | ) | [inline, inherited] |
double pcl::Feature::getRadiusSearch | ( | ) | [inline, inherited] |
KdTreePtr pcl::Feature::getSearchMethod | ( | ) | [inline, inherited] |
double pcl::Feature::getSearchParameter | ( | ) | [inline, inherited] |
PointCloudInConstPtr pcl::Feature::getSearchSurface | ( | ) | [inline, inherited] |
int pcl::Feature::searchForNeighbors | ( | size_t | index, |
double | parameter, | ||
std::vector< int > & | indices, | ||
std::vector< float > & | distances | ||
) | const [inline, inherited] |
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 |
int pcl::Feature::searchForNeighbors | ( | const PointCloudIn & | cloud, |
size_t | index, | ||
double | parameter, | ||
std::vector< int > & | indices, | ||
std::vector< float > & | distances | ||
) | const [inline, inherited] |
Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface.
cloud | the query point cloud |
index | the index of the query point in cloud |
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 |
void pcl::FeatureFromNormals::setInputNormals | ( | const PointCloudNConstPtr & | normals | ) | [inline] |
Provide a pointer to the input dataset that contains the point normals of the XYZ dataset.
In case of search surface is set to be different from the input cloud, normals should correspond to the search surface, not the input cloud!
normals | the const boost shared pointer to a PointCloud of normals. By convention, L2 norm of each normal should be 1. |
void pcl::Feature::setKSearch | ( | int | k | ) | [inline, inherited] |
void pcl::Feature::setRadiusSearch | ( | double | radius | ) | [inline, inherited] |
void pcl::Feature::setSearchMethod | ( | const KdTreePtr & | tree | ) | [inline, inherited] |
void pcl::Feature::setSearchSurface | ( | const PointCloudInConstPtr & | cloud | ) | [inline, inherited] |
Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset.
This is optional, if this is not set, it will only use the data in the input cloud to estimate the features. This is useful when you only need to compute the features for a downsampled cloud.
cloud | a pointer to a PointCloud message |