Public Types | Public Member Functions | Private Types | Private Attributes
pcl::RandomizedRandomSampleConsensus< PointT > Class Template Reference

RandomizedRandomSampleConsensus represents an implementation of the RRANSAC (Randomized RAndom SAmple Consensus), as described in "Randomized RANSAC with Td,d test", O. Chum and J. Matas, Proc. British Machine Vision Conf. (BMVC '02), vol. 2, BMVA, pp. 448-457, 2002. More...

#include <rransac.h>

Inheritance diagram for pcl::RandomizedRandomSampleConsensus< PointT >:
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List of all members.

Public Types

typedef boost::shared_ptr
< const
RandomizedRandomSampleConsensus
ConstPtr
typedef boost::shared_ptr
< RandomizedRandomSampleConsensus
Ptr

Public Member Functions

bool computeModel (int debug_verbosity_level=0)
 Compute the actual model and find the inliers.
double getFractionNrPretest ()
 Get the percentage of points to pre-test.
 RandomizedRandomSampleConsensus (const SampleConsensusModelPtr &model)
 RANSAC (Randomized RAndom SAmple Consensus) main constructor.
 RandomizedRandomSampleConsensus (const SampleConsensusModelPtr &model, double threshold)
 RRANSAC (RAndom SAmple Consensus) main constructor.
void setFractionNrPretest (double nr_pretest)
 Set the percentage of points to pre-test.

Private Types

typedef SampleConsensusModel
< PointT >::Ptr 
SampleConsensusModelPtr

Private Attributes

double fraction_nr_pretest_
 Number of samples to randomly pre-test, in percents.

Detailed Description

template<typename PointT>
class pcl::RandomizedRandomSampleConsensus< PointT >

RandomizedRandomSampleConsensus represents an implementation of the RRANSAC (Randomized RAndom SAmple Consensus), as described in "Randomized RANSAC with Td,d test", O. Chum and J. Matas, Proc. British Machine Vision Conf. (BMVC '02), vol. 2, BMVA, pp. 448-457, 2002.

Note:
RRANSAC is useful in situations where most of the data samples belong to the model, and a fast outlier rejection algorithm is needed.
Author:
Radu B. Rusu

Definition at line 57 of file rransac.h.


Member Typedef Documentation

template<typename PointT>
typedef boost::shared_ptr<const RandomizedRandomSampleConsensus> pcl::RandomizedRandomSampleConsensus< PointT >::ConstPtr

Reimplemented from pcl::SampleConsensus< PointT >.

Definition at line 63 of file rransac.h.

template<typename PointT>
typedef boost::shared_ptr<RandomizedRandomSampleConsensus> pcl::RandomizedRandomSampleConsensus< PointT >::Ptr

Reimplemented from pcl::SampleConsensus< PointT >.

Definition at line 62 of file rransac.h.

Reimplemented from pcl::SampleConsensus< PointT >.

Definition at line 59 of file rransac.h.


Constructor & Destructor Documentation

RANSAC (Randomized RAndom SAmple Consensus) main constructor.

Parameters:
[in]modela Sample Consensus model

Definition at line 77 of file rransac.h.

template<typename PointT>
pcl::RandomizedRandomSampleConsensus< PointT >::RandomizedRandomSampleConsensus ( const SampleConsensusModelPtr model,
double  threshold 
) [inline]

RRANSAC (RAndom SAmple Consensus) main constructor.

Parameters:
[in]modela Sample Consensus model
[in]thresholddistance to model threshold

Definition at line 89 of file rransac.h.


Member Function Documentation

template<typename PointT >
bool pcl::RandomizedRandomSampleConsensus< PointT >::computeModel ( int  debug_verbosity_level = 0) [virtual]

Compute the actual model and find the inliers.

Parameters:
[in]debug_verbosity_levelenable/disable on-screen debug information and set the verbosity level

Implements pcl::SampleConsensus< PointT >.

Definition at line 48 of file rransac.hpp.

template<typename PointT>
double pcl::RandomizedRandomSampleConsensus< PointT >::getFractionNrPretest ( ) [inline]

Get the percentage of points to pre-test.

Definition at line 111 of file rransac.h.

template<typename PointT>
void pcl::RandomizedRandomSampleConsensus< PointT >::setFractionNrPretest ( double  nr_pretest) [inline]

Set the percentage of points to pre-test.

Parameters:
[in]nr_pretestpercentage of points to pre-test

Definition at line 107 of file rransac.h.


Member Data Documentation

template<typename PointT>
double pcl::RandomizedRandomSampleConsensus< PointT >::fraction_nr_pretest_ [private]

Number of samples to randomly pre-test, in percents.

Definition at line 115 of file rransac.h.


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


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:43:08