| addCorrespondenceRejector(const CorrespondenceRejectorPtr &rejector) | pcl::Registration< PointSource, PointTarget, float > | inline |
| Affine3 typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| align(PointCloudSource &output) | pcl::Registration< PointSource, PointTarget, float > | inline |
| align(PointCloudSource &output, const Matrix4 &guess) | pcl::Registration< PointSource, PointTarget, float > | inline |
| angular_hessian_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| angular_jacobian_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| auxilaryFunction_dPsiMT(double g_a, double g_0, double mu=1.e-4) const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inlineprotected |
| auxilaryFunction_PsiMT(double a, double f_a, double f_0, double g_0, double mu=1.e-4) const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inlineprotected |
| clearCorrespondenceRejectors() | pcl::Registration< PointSource, PointTarget, float > | inline |
| computeAngleDerivatives(const Eigen::Matrix< double, 6, 1 > &transform, bool compute_hessian=true) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| computeDerivatives(Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Matrix< double, 6, 6 > &hessian, const PointCloudSource &trans_cloud, const Eigen::Matrix< double, 6, 1 > &transform, bool compute_hessian=true) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| computeHessian(Eigen::Matrix< double, 6, 6 > &hessian, const PointCloudSource &trans_cloud) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| computePointDerivatives(const Eigen::Vector3d &x, bool compute_hessian=true) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| computeStepLengthMT(const Eigen::Matrix< double, 6, 1 > &transform, Eigen::Matrix< double, 6, 1 > &step_dir, double step_init, double step_max, double step_min, double &score, Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Matrix< double, 6, 6 > &hessian, PointCloudSource &trans_cloud) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| computeTransformation(PointCloudSource &output) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inlineprotectedvirtual |
| computeTransformation(PointCloudSource &output, const Matrix4 &guess) override | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| Registration< PointSource, PointTarget, float >::computeTransformation(PointCloudSource &output, const Matrix4 &guess)=0 | pcl::Registration< PointSource, PointTarget, float > | protectedpure virtual |
| ConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| converged_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| convertTransform(const Eigen::Matrix< double, 6, 1 > &x, Affine3 &trans) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inlinestatic |
| convertTransform(const Eigen::Matrix< double, 6, 1 > &x, Matrix4 &trans) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inlinestatic |
| corr_dist_threshold_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| correspondence_estimation_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| correspondence_rejectors_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| CorrespondenceEstimation typedef | pcl::Registration< PointSource, PointTarget, float > | |
| CorrespondenceEstimationConstPtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| CorrespondenceEstimationPtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| CorrespondenceRejectorPtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| correspondences_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| deinitCompute() | pcl::PCLBase< PointSource > | protected |
| euclidean_fitness_epsilon_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| fake_indices_ | pcl::PCLBase< PointSource > | protected |
| final_transformation_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| force_no_recompute_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| force_no_recompute_reciprocal_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| gauss_d1_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| gauss_d2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| getClassName() const | pcl::Registration< PointSource, PointTarget, float > | inline |
| getCorrespondenceRejectors() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getEuclideanFitnessEpsilon() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getFinalNumIteration() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getFinalTransformation() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getFitnessScore(double max_range=std::numeric_limits< double >::max()) | pcl::Registration< PointSource, PointTarget, float > | inline |
| getFitnessScore(const std::vector< float > &distances_a, const std::vector< float > &distances_b) | pcl::Registration< PointSource, PointTarget, float > | inline |
| getIndices() | pcl::PCLBase< PointSource > | inline |
| getIndices() const | pcl::PCLBase< PointSource > | inline |
| getInputCloud() const | pcl::PCLBase< PointSource > | inline |
| getInputSource() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getInputTarget() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getLastIncrementalTransformation() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getMaxCorrespondenceDistance() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getMaximumIterations() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getOulierRatio() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getOutlierRatio() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getRANSACIterations() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getRANSACOutlierRejectionThreshold() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getResolution() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getSearchMethodSource() const | pcl::Registration< PointSource, PointTarget, float > | inline |
| getSearchMethodTarget() const | pcl::Registration< PointSource, PointTarget, float > | inline |
| getStepSize() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getTargetCells() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getTransformationEpsilon() | pcl::Registration< PointSource, PointTarget, float > | inline |
| getTransformationLikelihood() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getTransformationProbability() const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| getTransformationRotationEpsilon() | pcl::Registration< PointSource, PointTarget, float > | inline |
| hasConverged() const | pcl::Registration< PointSource, PointTarget, float > | inline |
| indices_ | pcl::PCLBase< PointSource > | protected |
| init() | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inlineprotected |
| initCompute() | pcl::Registration< PointSource, PointTarget, float > | |
| initComputeReciprocal() | pcl::Registration< PointSource, PointTarget, float > | |
| inlier_threshold_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| input_ | pcl::PCLBase< PointSource > | protected |
| KdTree typedef | pcl::Registration< PointSource, PointTarget, float > | |
| KdTreePtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| KdTreeReciprocal typedef | pcl::Registration< PointSource, PointTarget, float > | |
| KdTreeReciprocalPtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| Matrix4 typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| max_iterations_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| min_number_correspondences_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| NormalDistributionsTransform() | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| nr_iterations_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| operator[](std::size_t pos) const | pcl::PCLBase< PointSource > | inline |
| outlier_ratio_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PCLBase() | pcl::PCLBase< PointSource > | |
| PCLBase(const PCLBase &base) | pcl::PCLBase< PointSource > | |
| point_hessian_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| point_jacobian_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointCloud typedef | pcl::PCLBase< PointSource > | |
| PointCloudConstPtr typedef | pcl::PCLBase< PointSource > | |
| PointCloudPtr typedef | pcl::PCLBase< PointSource > | |
| PointCloudSource typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointCloudSourceConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointCloudSourcePtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointCloudTarget typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointCloudTargetConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointCloudTargetPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointIndicesConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointIndicesPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| PointRepresentationConstPtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| previous_transformation_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| Ptr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| ransac_iterations_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| reg_name_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| registerVisualizationCallback(std::function< UpdateVisualizerCallbackSignature > &visualizerCallback) | pcl::Registration< PointSource, PointTarget, float > | inline |
| Registration() | pcl::Registration< PointSource, PointTarget, float > | inline |
| removeCorrespondenceRejector(unsigned int i) | pcl::Registration< PointSource, PointTarget, float > | inline |
| resolution_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| searchForNeighbors(const PointCloudSource &cloud, int index, pcl::Indices &indices, std::vector< float > &distances) | pcl::Registration< PointSource, PointTarget, float > | inlineprotected |
| setCorrespondenceEstimation(const CorrespondenceEstimationPtr &ce) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setEuclideanFitnessEpsilon(double epsilon) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setIndices(const IndicesPtr &indices) | pcl::PCLBase< PointSource > | virtual |
| setIndices(const IndicesConstPtr &indices) | pcl::PCLBase< PointSource > | virtual |
| setIndices(const PointIndicesConstPtr &indices) | pcl::PCLBase< PointSource > | virtual |
| setIndices(std::size_t row_start, std::size_t col_start, std::size_t nb_rows, std::size_t nb_cols) | pcl::PCLBase< PointSource > | virtual |
| PCLBase< PointSource >::setInputCloud(const PointCloudConstPtr &cloud) | pcl::PCLBase< PointSource > | virtual |
| setInputSource(const PointCloudSourceConstPtr &cloud) | pcl::Registration< PointSource, PointTarget, float > | inlinevirtual |
| setInputTarget(const PointCloudTargetConstPtr &cloud) override | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inlinevirtual |
| setMaxCorrespondenceDistance(double distance_threshold) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setMaximumIterations(int nr_iterations) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setMinPointPerVoxel(unsigned int min_points_per_voxel) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| setOulierRatio(double outlier_ratio) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| setOutlierRatio(double outlier_ratio) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| setPointRepresentation(const PointRepresentationConstPtr &point_representation) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setRANSACIterations(int ransac_iterations) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setRANSACOutlierRejectionThreshold(double inlier_threshold) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setResolution(float resolution) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| setSearchMethodSource(const KdTreeReciprocalPtr &tree, bool force_no_recompute=false) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setSearchMethodTarget(const KdTreePtr &tree, bool force_no_recompute=false) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setStepSize(double step_size) | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | inline |
| setTransformationEpsilon(double epsilon) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setTransformationEstimation(const TransformationEstimationPtr &te) | pcl::Registration< PointSource, PointTarget, float > | inline |
| setTransformationRotationEpsilon(double epsilon) | pcl::Registration< PointSource, PointTarget, float > | inline |
| source_cloud_updated_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| step_size_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| target_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| target_cells_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| target_cloud_updated_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| TargetGrid typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| TargetGridConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| TargetGridLeafConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| TargetGridPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| trans_likelihood_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| trans_probability_ | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| transformation_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| transformation_epsilon_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| transformation_estimation_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| transformation_rotation_epsilon_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| TransformationEstimation typedef | pcl::Registration< PointSource, PointTarget, float > | |
| TransformationEstimationConstPtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| TransformationEstimationPtr typedef | pcl::Registration< PointSource, PointTarget, float > | |
| tree_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| tree_reciprocal_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| trialValueSelectionMT(double a_l, double f_l, double g_l, double a_u, double f_u, double g_u, double a_t, double f_t, double g_t) const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| update_visualizer_ | pcl::Registration< PointSource, PointTarget, float > | protected |
| updateDerivatives(Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Matrix< double, 6, 6 > &hessian, const Eigen::Vector3d &x_trans, const Eigen::Matrix3d &c_inv, bool compute_hessian=true) const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| updateHessian(Eigen::Matrix< double, 6, 6 > &hessian, const Eigen::Vector3d &x_trans, const Eigen::Matrix3d &c_inv) const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| updateIntervalMT(double &a_l, double &f_l, double &g_l, double &a_u, double &f_u, double &g_u, double a_t, double f_t, double g_t) const | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | protected |
| UpdateVisualizerCallbackSignature typedef | pcl::Registration< PointSource, PointTarget, float > | |
| use_indices_ | pcl::PCLBase< PointSource > | protected |
| Vector3 typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| ~NormalDistributionsTransform() override=default | pcl::NormalDistributionsTransform< PointSource, PointTarget, Scalar > | |
| ~PCLBase()=default | pcl::PCLBase< PointSource > | virtual |
| ~Registration() override=default | pcl::Registration< PointSource, PointTarget, float > | |