Point Cloud Library (PCL)  1.3.1
Public Types | Public Member Functions
pcl::IntensityGradientEstimation Class Reference

IntensityGradientEstimation estimates the intensity gradient for a point cloud that contains position and intensity values. More...

#include <pcl/features/intensity_gradient.h>

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List of all members.

Public Types

typedef Feature< PointInT,
PointOutT >::PointCloudOut 
PointCloudOut
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

Public Member Functions

 IntensityGradientEstimation ()
 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.

Detailed Description

IntensityGradientEstimation estimates the intensity gradient for a point cloud that contains position and intensity values.

The intensity gradient at a given point will be a vector orthogonal to the surface normal and pointing in the direction of the greatest increase in local intensity; the vector's magnitude indicates the rate of intensity change.

Author:
Michael Dixon

Member Typedef Documentation

typedef boost::shared_ptr< const FeatureFromNormals<PointInT, PointNT, PointOutT> > pcl::FeatureFromNormals::ConstPtr [inherited]

Definition at line 290 of file feature.h.

Reimplemented in pcl::SpinImageEstimation.

Definition at line 285 of file feature.h.

Reimplemented in pcl::SpinImageEstimation.

Definition at line 287 of file feature.h.

Reimplemented in pcl::SpinImageEstimation.

Definition at line 286 of file feature.h.

Reimplemented from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >.

Definition at line 63 of file intensity_gradient.h.

typedef boost::shared_ptr< FeatureFromNormals<PointInT, PointNT, PointOutT> > pcl::FeatureFromNormals::Ptr [inherited]

Definition at line 289 of file feature.h.


Constructor & Destructor Documentation

pcl::IntensityGradientEstimation::IntensityGradientEstimation ( ) [inline]

Empty constructor.

Definition at line 66 of file intensity_gradient.h.


Member Function Documentation

PointCloudNConstPtr pcl::FeatureFromNormals::getInputNormals ( ) [inline, inherited]

Get a pointer to the normals of the input XYZ point cloud dataset.

Definition at line 312 of file feature.h.

void pcl::FeatureFromNormals::setInputNormals ( const PointCloudNConstPtr normals) [inline, inherited]

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!

Parameters:
normalsthe const boost shared pointer to a PointCloud of normals. By convention, L2 norm of each normal should be 1.

Definition at line 308 of file feature.h.


The documentation for this class was generated from the following files:
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