Point Cloud Library (PCL)  1.9.1-dev
pcl::MaximumLikelihoodSampleConsensus< PointT > Member List

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

computeMedian(const PointCloudConstPtr &cloud, const boost::shared_ptr< std::vector< int > > &indices, Eigen::Vector4f &median) constpcl::MaximumLikelihoodSampleConsensus< PointT >protected
computeMedianAbsoluteDeviation(const PointCloudConstPtr &cloud, const boost::shared_ptr< std::vector< int > > &indices, double sigma) constpcl::MaximumLikelihoodSampleConsensus< PointT >protected
computeModel(int debug_verbosity_level=0) overridepcl::MaximumLikelihoodSampleConsensus< PointT >virtual
ConstPtr typedefpcl::MaximumLikelihoodSampleConsensus< PointT >
getDistanceThreshold() constpcl::SampleConsensus< PointT >inline
getEMIterations() constpcl::MaximumLikelihoodSampleConsensus< PointT >inline
getInliers(std::vector< int > &inliers) constpcl::SampleConsensus< PointT >inline
getMaxIterations() constpcl::SampleConsensus< PointT >inline
getMinMax(const PointCloudConstPtr &cloud, const boost::shared_ptr< std::vector< int > > &indices, Eigen::Vector4f &min_p, Eigen::Vector4f &max_p) constpcl::MaximumLikelihoodSampleConsensus< PointT >protected
getModel(std::vector< int > &model) constpcl::SampleConsensus< PointT >inline
getModelCoefficients(Eigen::VectorXf &model_coefficients) constpcl::SampleConsensus< PointT >inline
getProbability() constpcl::SampleConsensus< PointT >inline
getRandomSamples(const boost::shared_ptr< std::vector< int > > &indices, std::size_t nr_samples, std::set< int > &indices_subset)pcl::SampleConsensus< PointT >inline
getSampleConsensusModel() constpcl::SampleConsensus< PointT >inline
inliers_pcl::SampleConsensus< PointT >protected
iterations_pcl::SampleConsensus< PointT >protected
max_iterations_pcl::SampleConsensus< PointT >protected
MaximumLikelihoodSampleConsensus(const SampleConsensusModelPtr &model)pcl::MaximumLikelihoodSampleConsensus< PointT >inline
MaximumLikelihoodSampleConsensus(const SampleConsensusModelPtr &model, double threshold)pcl::MaximumLikelihoodSampleConsensus< PointT >inline
model_pcl::SampleConsensus< PointT >protected
model_coefficients_pcl::SampleConsensus< PointT >protected
probability_pcl::SampleConsensus< PointT >protected
Ptr typedefpcl::MaximumLikelihoodSampleConsensus< 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
setEMIterations(int iterations)pcl::MaximumLikelihoodSampleConsensus< PointT >inline
setMaxIterations(int max_iterations)pcl::SampleConsensus< PointT >inline
setProbability(double probability)pcl::SampleConsensus< PointT >inline
setSampleConsensusModel(const SampleConsensusModelPtr &model)pcl::SampleConsensus< PointT >inline
threshold_pcl::SampleConsensus< PointT >protected
~SampleConsensus()pcl::SampleConsensus< PointT >inlinevirtual