pcl::MEstimatorSampleConsensus< PointT > Member List

This is the complete list of members for pcl::MEstimatorSampleConsensus< PointT >, including all inherited members.

computeModel(int debug_verbosity_level=0)	pcl::MEstimatorSampleConsensus< PointT >	[virtual]
ConstPtr typedef	pcl::SampleConsensus< PointT >
getDistanceThreshold()	pcl::SampleConsensus< PointT >	[inline]
getInliers(std::vector< int > &inliers)	pcl::SampleConsensus< PointT >	[inline]
getMaxIterations()	pcl::SampleConsensus< PointT >	[inline]
getModel(std::vector< int > &model)	pcl::SampleConsensus< PointT >	[inline]
getModelCoefficients(Eigen::VectorXf &model_coefficients)	pcl::SampleConsensus< PointT >	[inline]
getProbability()	pcl::SampleConsensus< PointT >	[inline]
getRandomSamples(const boost::shared_ptr< std::vector< int > > &indices, size_t nr_samples, std::set< int > &indices_subset)	pcl::SampleConsensus< PointT >	[inline]
inliers_	pcl::SampleConsensus< PointT >	[protected]
iterations_	pcl::SampleConsensus< PointT >	[protected]
max_iterations_	pcl::SampleConsensus< PointT >	[protected]
MEstimatorSampleConsensus(const SampleConsensusModelPtr &model)	pcl::MEstimatorSampleConsensus< PointT >	[inline]
MEstimatorSampleConsensus(const SampleConsensusModelPtr &model, double threshold)	pcl::MEstimatorSampleConsensus< PointT >	[inline]
model_	pcl::SampleConsensus< PointT >	[protected]
model_coefficients_	pcl::SampleConsensus< PointT >	[protected]
probability_	pcl::SampleConsensus< PointT >	[protected]
Ptr typedef	pcl::SampleConsensus< PointT >
rnd()	pcl::SampleConsensus< PointT >	[inline, protected]
rng_	pcl::SampleConsensus< PointT >	[protected]
rng_alg_	pcl::SampleConsensus< PointT >	[protected]
sac_model_	pcl::SampleConsensus< PointT >	[protected]
SampleConsensus(const SampleConsensusModelPtr &model, bool random=false)	pcl::SampleConsensus< PointT >	[inline]
SampleConsensus(const SampleConsensusModelPtr &model, double threshold, bool random=false)	pcl::SampleConsensus< PointT >	[inline]
SampleConsensusModelPtr typedef	pcl::MEstimatorSampleConsensus< PointT >	[private]
setDistanceThreshold(double threshold)	pcl::SampleConsensus< PointT >	[inline]
setMaxIterations(int max_iterations)	pcl::SampleConsensus< PointT >	[inline]
setProbability(double probability)	pcl::SampleConsensus< PointT >	[inline]
threshold_	pcl::SampleConsensus< PointT >	[protected]
~SampleConsensus()	pcl::SampleConsensus< PointT >	[inline, virtual]