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

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

computeModelCoefficients(const Indices &samples, Eigen::VectorXf &model_coefficients) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >virtual
computeVariance(const std::vector< double > &error_sqr_dists) constpcl::SampleConsensusModel< PointT >inline
computeVariance() constpcl::SampleConsensusModel< PointT >inline
ConstPtr typedefpcl::SampleConsensusModelCylinder< PointT, PointNT >
countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >virtual
custom_model_constraints_pcl::SampleConsensusModel< PointT >protected
doSamplesVerifyModel(const std::set< index_t > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >virtual
drawIndexSample(Indices &sample)pcl::SampleConsensusModel< PointT >inlineprotected
drawIndexSampleRadius(Indices &sample)pcl::SampleConsensusModel< PointT >inlineprotected
error_sqr_dists_pcl::SampleConsensusModel< PointT >protected
getAxis() constpcl::SampleConsensusModelCylinder< PointT, PointNT >inline
getClassName() constpcl::SampleConsensusModel< PointT >inline
getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >virtual
getEpsAngle() constpcl::SampleConsensusModelCylinder< PointT, PointNT >inline
getIndices() constpcl::SampleConsensusModel< PointT >inline
getInputCloud() constpcl::SampleConsensusModel< PointT >inline
getInputNormals() constpcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
getModelSize() constpcl::SampleConsensusModel< PointT >inline
getModelType() const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >inlinevirtual
getNormalDistanceWeight() constpcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
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) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >protectedvirtual
isSampleGood(const Indices &samples) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >protectedvirtual
max_sample_checks_pcl::SampleConsensusModel< PointT >protectedstatic
model_name_pcl::SampleConsensusModel< PointT >protected
model_size_pcl::SampleConsensusModel< PointT >protected
normal_distance_weight_pcl::SampleConsensusModelFromNormals< PointT, PointNT >protected
normals_pcl::SampleConsensusModelFromNormals< PointT, PointNT >protected
operator=(const SampleConsensusModelCylinder &source)pcl::SampleConsensusModelCylinder< PointT, PointNT >inline
optimizeModelCoefficients(const Indices &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >virtual
PointCloud typedefpcl::SampleConsensusModelCylinder< PointT, PointNT >
PointCloudConstPtr typedefpcl::SampleConsensusModelCylinder< PointT, PointNT >
PointCloudNConstPtr typedefpcl::SampleConsensusModelFromNormals< PointT, PointNT >
PointCloudNPtr typedefpcl::SampleConsensusModelFromNormals< PointT, PointNT >
PointCloudPtr typedefpcl::SampleConsensusModelCylinder< PointT, PointNT >
pointToLineDistance(const Eigen::Vector4f &pt, const Eigen::VectorXf &model_coefficients) constpcl::SampleConsensusModelCylinder< PointT, PointNT >protected
projectPoints(const Indices &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) const overridepcl::SampleConsensusModelCylinder< PointT, PointNT >virtual
projectPointToCylinder(const Eigen::Vector4f &pt, const Eigen::VectorXf &model_coefficients, Eigen::Vector4f &pt_proj) constpcl::SampleConsensusModelCylinder< PointT, PointNT >protected
projectPointToLine(const Eigen::Vector4f &pt, const Eigen::Vector4f &line_pt, const Eigen::Vector4f &line_dir, Eigen::Vector4f &pt_proj) constpcl::SampleConsensusModelCylinder< PointT, PointNT >inlineprotected
Ptr typedefpcl::SampleConsensusModelCylinder< PointT, PointNT >
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
SampleConsensusModelCylinder(const PointCloudConstPtr &cloud, bool random=false)pcl::SampleConsensusModelCylinder< PointT, PointNT >inline
SampleConsensusModelCylinder(const PointCloudConstPtr &cloud, const Indices &indices, bool random=false)pcl::SampleConsensusModelCylinder< PointT, PointNT >inline
SampleConsensusModelCylinder(const SampleConsensusModelCylinder &source)pcl::SampleConsensusModelCylinder< PointT, PointNT >inline
SampleConsensusModelFromNormals()pcl::SampleConsensusModelFromNormals< PointT, PointNT >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) overridepcl::SampleConsensusModelCylinder< PointT, PointNT >virtual
setAxis(const Eigen::Vector3f &ax)pcl::SampleConsensusModelCylinder< PointT, PointNT >inline
setEpsAngle(const double ea)pcl::SampleConsensusModelCylinder< PointT, PointNT >inline
setIndices(const IndicesPtr &indices)pcl::SampleConsensusModel< PointT >inline
setIndices(const Indices &indices)pcl::SampleConsensusModel< PointT >inline
setInputCloud(const PointCloudConstPtr &cloud)pcl::SampleConsensusModel< PointT >inlinevirtual
setInputNormals(const PointCloudNConstPtr &normals)pcl::SampleConsensusModelFromNormals< PointT, PointNT >inline
setModelConstraints(std::function< bool(const Eigen::VectorXf &)> function)pcl::SampleConsensusModel< PointT >inline
setNormalDistanceWeight(const double w)pcl::SampleConsensusModelFromNormals< PointT, PointNT >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
~SampleConsensusModelCylinder()pcl::SampleConsensusModelCylinder< PointT, PointNT >inline
~SampleConsensusModelFromNormals()pcl::SampleConsensusModelFromNormals< PointT, PointNT >inlinevirtual