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 typedefpcl::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 typedefpcl::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 typedefpcl::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]


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:19:37