pcl::LeastMedianSquares< PointT > Member List

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

computeModel(int debug_verbosity_level=0) override	pcl::LeastMedianSquares< PointT >	virtual
ConstPtr typedef	pcl::LeastMedianSquares< PointT >
getDistanceThreshold() const	pcl::SampleConsensus< PointT >	inline
getInliers(Indices &inliers) const	pcl::SampleConsensus< PointT >	inline
getMaxIterations() const	pcl::SampleConsensus< PointT >	inline
getModel(Indices &model) const	pcl::SampleConsensus< PointT >	inline
getModelCoefficients(Eigen::VectorXf &model_coefficients) const	pcl::SampleConsensus< PointT >	inline
getNumberOfThreads() const	pcl::SampleConsensus< PointT >	inline
getProbability() const	pcl::SampleConsensus< PointT >	inline
getRandomSamples(const IndicesPtr &indices, std::size_t nr_samples, std::set< index_t > &indices_subset)	pcl::SampleConsensus< PointT >	inline
getSampleConsensusModel() const	pcl::SampleConsensus< PointT >	inline
inliers_	pcl::SampleConsensus< PointT >	protected
iterations_	pcl::SampleConsensus< PointT >	protected
LeastMedianSquares(const SampleConsensusModelPtr &model)	pcl::LeastMedianSquares< PointT >	inline
LeastMedianSquares(const SampleConsensusModelPtr &model, double threshold)	pcl::LeastMedianSquares< PointT >	inline
max_iterations_	pcl::SampleConsensus< PointT >	protected
model_	pcl::SampleConsensus< PointT >	protected
model_coefficients_	pcl::SampleConsensus< PointT >	protected
probability_	pcl::SampleConsensus< PointT >	protected
Ptr typedef	pcl::LeastMedianSquares< PointT >
refineModel(const double sigma=3.0, const unsigned int max_iterations=1000)	pcl::SampleConsensus< PointT >	inlinevirtual
rnd()	pcl::SampleConsensus< PointT >	inlineprotected
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
setDistanceThreshold(double threshold)	pcl::SampleConsensus< PointT >	inline
setMaxIterations(int max_iterations)	pcl::SampleConsensus< PointT >	inline
setNumberOfThreads(const int nr_threads=-1)	pcl::SampleConsensus< PointT >	inline
setProbability(double probability)	pcl::SampleConsensus< PointT >	inline
setSampleConsensusModel(const SampleConsensusModelPtr &model)	pcl::SampleConsensus< PointT >	inline
threads_	pcl::SampleConsensus< PointT >	protected
threshold_	pcl::SampleConsensus< PointT >	protected
~SampleConsensus()=default	pcl::SampleConsensus< PointT >	virtual