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)pcl::MaximumLikelihoodSampleConsensus< PointT > [protected]
computeMedianAbsoluteDeviation(const PointCloudConstPtr &cloud, const boost::shared_ptr< std::vector< int > > &indices, double sigma)pcl::MaximumLikelihoodSampleConsensus< PointT > [protected]
computeModel(int debug_verbosity_level=0)pcl::MaximumLikelihoodSampleConsensus< PointT > [virtual]
ConstPtr typedefpcl::MaximumLikelihoodSampleConsensus< PointT >
getDistanceThreshold()pcl::SampleConsensus< PointT > [inline]
getEMIterations() const pcl::MaximumLikelihoodSampleConsensus< PointT > [inline]
getInliers(std::vector< int > &inliers)pcl::SampleConsensus< PointT > [inline]
getMaxIterations()pcl::SampleConsensus< PointT > [inline]
getMinMax(const PointCloudConstPtr &cloud, const boost::shared_ptr< std::vector< int > > &indices, Eigen::Vector4f &min_p, Eigen::Vector4f &max_p)pcl::MaximumLikelihoodSampleConsensus< PointT > [protected]
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]
getSampleConsensusModel() constpcl::SampleConsensus< PointT > [inline]
inliers_pcl::SampleConsensus< PointT > [protected]
iterations_pcl::SampleConsensus< PointT > [protected]
iterations_EM_pcl::MaximumLikelihoodSampleConsensus< PointT > [private]
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]
PointCloudConstPtr typedefpcl::MaximumLikelihoodSampleConsensus< PointT > [private]
probability_pcl::SampleConsensus< PointT > [protected]
Ptr typedefpcl::MaximumLikelihoodSampleConsensus< PointT >
refineModel(const double sigma=3.0, const unsigned int max_iterations=1000)pcl::SampleConsensus< PointT > [inline, virtual]
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 typedefpcl::MaximumLikelihoodSampleConsensus< PointT > [private]
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]
sigma_pcl::MaximumLikelihoodSampleConsensus< PointT > [private]
threshold_pcl::SampleConsensus< PointT > [protected]
~SampleConsensus()pcl::SampleConsensus< PointT > [inline, virtual]


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:42:15