IntensitySpinEstimation estimates the intensity-domain spin image descriptors for a given point cloud dataset containing points and intensity. For more information about the intensity-domain spin image descriptor, see: More...
#include <intensity_spin.h>
Public Types | |
typedef boost::shared_ptr < const IntensitySpinEstimation < PointInT, PointOutT > > | ConstPtr |
typedef pcl::PointCloud< PointInT > | PointCloudIn |
typedef Feature< PointInT, PointOutT >::PointCloudOut | PointCloudOut |
typedef boost::shared_ptr < IntensitySpinEstimation < PointInT, PointOutT > > | Ptr |
Public Member Functions | |
void | computeFeature (PointCloudOut &output) |
Estimate the intensity-domain descriptors at a set of points given by <setInputCloud (), setIndices ()> using the surface in setSearchSurface (), and the spatial locator in setSearchMethod (). | |
void | computeIntensitySpinImage (const PointCloudIn &cloud, float radius, float sigma, int k, const std::vector< int > &indices, const std::vector< float > &squared_distances, Eigen::MatrixXf &intensity_spin_image) |
Estimate the intensity-domain spin image descriptor for a given point based on its spatial neighborhood of 3D points and their intensities. | |
int | getNrDistanceBins () |
Returns the number of bins in the distance dimension of the spin image. | |
int | getNrIntensityBins () |
Returns the number of bins in the intensity dimension of the spin image. | |
float | getSmoothingBandwith () |
Returns the standard deviation of the Gaussian smoothing kernel used to construct the spin images. | |
IntensitySpinEstimation () | |
Empty constructor. | |
void | setNrDistanceBins (size_t nr_distance_bins) |
Set the number of bins to use in the distance dimension of the spin image. | |
void | setNrIntensityBins (size_t nr_intensity_bins) |
Set the number of bins to use in the intensity dimension of the spin image. | |
void | setSmoothingBandwith (float sigma) |
Set the standard deviation of the Gaussian smoothing kernel to use when constructing the spin images. | |
Public Attributes | |
int | nr_distance_bins_ |
The number of distance bins in the descriptor. | |
int | nr_intensity_bins_ |
The number of intensity bins in the descriptor. | |
float | sigma_ |
The standard deviation of the Gaussian smoothing kernel used to construct the spin images. |
IntensitySpinEstimation estimates the intensity-domain spin image descriptors for a given point cloud dataset containing points and intensity. For more information about the intensity-domain spin image descriptor, see:
Svetlana Lazebnik, Cordelia Schmid, and Jean Ponce. A sparse texture representation using local affine regions. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 27, pages 1265-1278, August 2005.
Definition at line 58 of file intensity_spin.h.
typedef boost::shared_ptr<const IntensitySpinEstimation<PointInT, PointOutT> > pcl::IntensitySpinEstimation< PointInT, PointOutT >::ConstPtr |
Reimplemented from pcl::Feature< PointInT, PointOutT >.
Definition at line 62 of file intensity_spin.h.
typedef pcl::PointCloud<PointInT> pcl::IntensitySpinEstimation< PointInT, PointOutT >::PointCloudIn |
Reimplemented from pcl::Feature< PointInT, PointOutT >.
Definition at line 73 of file intensity_spin.h.
typedef Feature<PointInT, PointOutT>::PointCloudOut pcl::IntensitySpinEstimation< PointInT, PointOutT >::PointCloudOut |
Reimplemented from pcl::Feature< PointInT, PointOutT >.
Definition at line 74 of file intensity_spin.h.
typedef boost::shared_ptr<IntensitySpinEstimation<PointInT, PointOutT> > pcl::IntensitySpinEstimation< PointInT, PointOutT >::Ptr |
Reimplemented from pcl::Feature< PointInT, PointOutT >.
Definition at line 61 of file intensity_spin.h.
pcl::IntensitySpinEstimation< PointInT, PointOutT >::IntensitySpinEstimation | ( | ) | [inline] |
Empty constructor.
Definition at line 77 of file intensity_spin.h.
void pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeFeature | ( | PointCloudOut & | output | ) | [virtual] |
Estimate the intensity-domain descriptors at a set of points given by <setInputCloud (), setIndices ()> using the surface in setSearchSurface (), and the spatial locator in setSearchMethod ().
[out] | output | the resultant point cloud model dataset that contains the intensity-domain spin image features |
Implements pcl::Feature< PointInT, PointOutT >.
Definition at line 110 of file intensity_spin.hpp.
void pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeIntensitySpinImage | ( | const PointCloudIn & | cloud, |
float | radius, | ||
float | sigma, | ||
int | k, | ||
const std::vector< int > & | indices, | ||
const std::vector< float > & | squared_distances, | ||
Eigen::MatrixXf & | intensity_spin_image | ||
) |
Estimate the intensity-domain spin image descriptor for a given point based on its spatial neighborhood of 3D points and their intensities.
[in] | cloud | the dataset containing the Cartesian coordinates and intensity values of the points |
[in] | radius | the radius of the feature |
[in] | sigma | the standard deviation of the Gaussian smoothing kernel to use during the soft histogram update |
[in] | k | the number of neighbors to use from indices and squared_distances |
[in] | indices | the indices of the points that comprise the query point's neighborhood |
[in] | squared_distances | the squared distances from the query point to each point in the neighborhood |
[out] | intensity_spin_image | the resultant intensity-domain spin image descriptor |
Definition at line 48 of file intensity_spin.hpp.
int pcl::IntensitySpinEstimation< PointInT, PointOutT >::getNrDistanceBins | ( | ) | [inline] |
Returns the number of bins in the distance dimension of the spin image.
Definition at line 107 of file intensity_spin.h.
int pcl::IntensitySpinEstimation< PointInT, PointOutT >::getNrIntensityBins | ( | ) | [inline] |
Returns the number of bins in the intensity dimension of the spin image.
Definition at line 117 of file intensity_spin.h.
float pcl::IntensitySpinEstimation< PointInT, PointOutT >::getSmoothingBandwith | ( | ) | [inline] |
Returns the standard deviation of the Gaussian smoothing kernel used to construct the spin images.
Definition at line 127 of file intensity_spin.h.
void pcl::IntensitySpinEstimation< PointInT, PointOutT >::setNrDistanceBins | ( | size_t | nr_distance_bins | ) | [inline] |
Set the number of bins to use in the distance dimension of the spin image.
[in] | nr_distance_bins | the number of bins to use in the distance dimension of the spin image |
Definition at line 103 of file intensity_spin.h.
void pcl::IntensitySpinEstimation< PointInT, PointOutT >::setNrIntensityBins | ( | size_t | nr_intensity_bins | ) | [inline] |
Set the number of bins to use in the intensity dimension of the spin image.
[in] | nr_intensity_bins | the number of bins to use in the intensity dimension of the spin image |
Definition at line 113 of file intensity_spin.h.
void pcl::IntensitySpinEstimation< PointInT, PointOutT >::setSmoothingBandwith | ( | float | sigma | ) | [inline] |
Set the standard deviation of the Gaussian smoothing kernel to use when constructing the spin images.
[in] | sigma | the standard deviation of the Gaussian smoothing kernel to use when constructing the spin images |
Definition at line 123 of file intensity_spin.h.
int pcl::IntensitySpinEstimation< PointInT, PointOutT >::nr_distance_bins_ |
The number of distance bins in the descriptor.
Definition at line 138 of file intensity_spin.h.
int pcl::IntensitySpinEstimation< PointInT, PointOutT >::nr_intensity_bins_ |
The number of intensity bins in the descriptor.
Definition at line 141 of file intensity_spin.h.
float pcl::IntensitySpinEstimation< PointInT, PointOutT >::sigma_ |
The standard deviation of the Gaussian smoothing kernel used to construct the spin images.
Definition at line 144 of file intensity_spin.h.