pcl::RIFTEstimation< PointInT, GradientT, Eigen::MatrixXf > Class Template Reference

RIFTEstimation estimates the Rotation Invariant Feature Transform descriptors for a given point cloud dataset containing points and intensity. For more information about the RIFT descriptor, see: More...

#include <rift.h>

Inheritance diagram for pcl::RIFTEstimation< PointInT, GradientT, Eigen::MatrixXf >:

List of all members.

Private Member Functions
void	compute (pcl::PointCloud< pcl::Normal > &)
	Make the compute (&PointCloudOut); inaccessible from outside the class.
void	computeFeatureEigen (pcl::PointCloud< Eigen::MatrixXf > &output)
	Estimate the Rotation Invariant Feature Transform (RIFT) descriptors at a set of points given by <setInputCloud (), setIndices ()> using the surface in setSearchSurface (), the gradient in setInputGradient (), and the spatial locator in setSearchMethod ()

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Detailed Description

template<typename PointInT, typename GradientT>
class pcl::RIFTEstimation< PointInT, GradientT, Eigen::MatrixXf >

RIFTEstimation estimates the Rotation Invariant Feature Transform descriptors for a given point cloud dataset containing points and intensity. For more information about the RIFT 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.

Author:

Michael Dixon

Definition at line 172 of file rift.h.

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Member Function Documentation

template<typename PointInT , typename GradientT >

void pcl::RIFTEstimation< PointInT, GradientT, Eigen::MatrixXf >::compute

(

pcl::PointCloud< pcl::Normal > &

)

[inline, private]

Make the compute (&PointCloudOut); inaccessible from outside the class.

Parameters:

[out]

output

the output point cloud

Definition at line 198 of file rift.h.

template<typename PointInT , typename GradientT >

void pcl::RIFTEstimation< PointInT, GradientT, Eigen::MatrixXf >::computeFeatureEigen

(

pcl::PointCloud< Eigen::MatrixXf > &

output

)

[private, virtual]

Estimate the Rotation Invariant Feature Transform (RIFT) descriptors at a set of points given by <setInputCloud (), setIndices ()> using the surface in setSearchSurface (), the gradient in setInputGradient (), and the spatial locator in setSearchMethod ()

Parameters:

[out]

output

the resultant point cloud model dataset that contains the RIFT feature estimates

Reimplemented from pcl::RIFTEstimation< PointInT, GradientT, pcl::Histogram< 32 > >.

Definition at line 182 of file rift.hpp.

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

• rift.h
• rift.hpp