Point Cloud Library (PCL)  1.11.1-dev
pcl::SampleConsensusModel< PointT > Member List

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

computeModelCoefficients(const Indices &samples, Eigen::VectorXf &model_coefficients) const =0pcl::SampleConsensusModel< PointT >pure virtual
computeVariance(const std::vector< double > &error_sqr_dists) constpcl::SampleConsensusModel< PointT >inline
computeVariance() constpcl::SampleConsensusModel< PointT >inline
ConstPtr typedefpcl::SampleConsensusModel< PointT >
countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold) const =0pcl::SampleConsensusModel< PointT >pure virtual
custom_model_constraints_pcl::SampleConsensusModel< PointT >protected
doSamplesVerifyModel(const std::set< index_t > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) const =0pcl::SampleConsensusModel< PointT >pure virtual
drawIndexSample(Indices &sample)pcl::SampleConsensusModel< PointT >inlineprotected
drawIndexSampleRadius(Indices &sample)pcl::SampleConsensusModel< PointT >inlineprotected
error_sqr_dists_pcl::SampleConsensusModel< PointT >protected
getClassName() constpcl::SampleConsensusModel< PointT >inline
getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const =0pcl::SampleConsensusModel< PointT >pure virtual
getIndices() constpcl::SampleConsensusModel< PointT >inline
getInputCloud() constpcl::SampleConsensusModel< PointT >inline
getModelSize() constpcl::SampleConsensusModel< PointT >inline
getModelType() const =0pcl::SampleConsensusModel< PointT >pure virtual
getRadiusLimits(double &min_radius, double &max_radius) constpcl::SampleConsensusModel< PointT >inline
getSamples(int &iterations, Indices &samples)pcl::SampleConsensusModel< PointT >inlinevirtual
getSampleSize() constpcl::SampleConsensusModel< PointT >inline
getSamplesMaxDist(double &radius) constpcl::SampleConsensusModel< PointT >inline
indices_pcl::SampleConsensusModel< PointT >protected
input_pcl::SampleConsensusModel< PointT >protected
isModelValid(const Eigen::VectorXf &model_coefficients) constpcl::SampleConsensusModel< PointT >inlineprotectedvirtual
isSampleGood(const Indices &samples) const =0pcl::SampleConsensusModel< PointT >protectedpure virtual
max_sample_checks_pcl::SampleConsensusModel< PointT >protectedstatic
model_name_pcl::SampleConsensusModel< PointT >protected
model_size_pcl::SampleConsensusModel< PointT >protected
optimizeModelCoefficients(const Indices &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) const =0pcl::SampleConsensusModel< PointT >pure virtual
PointCloud typedefpcl::SampleConsensusModel< PointT >
PointCloudConstPtr typedefpcl::SampleConsensusModel< PointT >
PointCloudPtr typedefpcl::SampleConsensusModel< PointT >
ProgressiveSampleConsensus< PointT > classpcl::SampleConsensusModel< PointT >friend
projectPoints(const Indices &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) const =0pcl::SampleConsensusModel< PointT >pure virtual
Ptr typedefpcl::SampleConsensusModel< PointT >
radius_max_pcl::SampleConsensusModel< PointT >protected
radius_min_pcl::SampleConsensusModel< PointT >protected
rnd()pcl::SampleConsensusModel< PointT >inlineprotected
rng_alg_pcl::SampleConsensusModel< PointT >protected
rng_dist_pcl::SampleConsensusModel< PointT >protected
rng_gen_pcl::SampleConsensusModel< PointT >protected
sample_size_pcl::SampleConsensusModel< PointT >protected
SampleConsensusModel(bool random=false)pcl::SampleConsensusModel< PointT >inlineprotected
SampleConsensusModel(const PointCloudConstPtr &cloud, bool random=false)pcl::SampleConsensusModel< PointT >inline
SampleConsensusModel(const PointCloudConstPtr &cloud, const Indices &indices, bool random=false)pcl::SampleConsensusModel< PointT >inline
samples_radius_pcl::SampleConsensusModel< PointT >protected
samples_radius_search_pcl::SampleConsensusModel< PointT >protected
SearchPtr typedefpcl::SampleConsensusModel< PointT >
selectWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold, Indices &inliers)=0pcl::SampleConsensusModel< PointT >pure virtual
setIndices(const IndicesPtr &indices)pcl::SampleConsensusModel< PointT >inline
setIndices(const Indices &indices)pcl::SampleConsensusModel< PointT >inline
setInputCloud(const PointCloudConstPtr &cloud)pcl::SampleConsensusModel< PointT >inlinevirtual
setModelConstraints(std::function< bool(const Eigen::VectorXf &)> function)pcl::SampleConsensusModel< PointT >inline
setRadiusLimits(const double &min_radius, const double &max_radius)pcl::SampleConsensusModel< PointT >inline
setSamplesMaxDist(const double &radius, SearchPtr search)pcl::SampleConsensusModel< PointT >inline
shuffled_indices_pcl::SampleConsensusModel< PointT >protected
~SampleConsensusModel()pcl::SampleConsensusModel< PointT >inlinevirtual