, including all inherited members.
addCorrespondenceRejector(const CorrespondenceRejectorPtr &rejector) | pcl::Registration< PointSource, PointTarget > | [inline] |
align(PointCloudSource &output) | pcl::Registration< PointSource, PointTarget > | [inline] |
align(PointCloudSource &output, const Matrix4 &guess) | pcl::Registration< PointSource, PointTarget > | [inline] |
auxilaryFunction_dPsiMT(double g_a, double g_0, double mu=1.e-4) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline, protected] |
auxilaryFunction_PsiMT(double a, double f_a, double f_0, double g_0, double mu=1.e-4) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline, protected] |
clearCorrespondenceRejectors() | pcl::Registration< PointSource, PointTarget > | [inline] |
computeAngleDerivatives(Eigen::Matrix< double, 6, 1 > &p, bool compute_hessian=true) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
computeDerivatives(Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Matrix< double, 6, 6 > &hessian, PointCloudSource &trans_cloud, Eigen::Matrix< double, 6, 1 > &p, bool compute_hessian=true) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
computeHessian(Eigen::Matrix< double, 6, 6 > &hessian, PointCloudSource &trans_cloud, Eigen::Matrix< double, 6, 1 > &p) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
computePointDerivatives(Eigen::Vector3d &x, bool compute_hessian=true) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
computeStepLengthMT(const Eigen::Matrix< double, 6, 1 > &x, 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 > | [protected] |
computeTransformation(PointCloudSource &output) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline, protected, virtual] |
computeTransformation(PointCloudSource &output, const Eigen::Matrix4f &guess) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected, virtual] |
Registration< PointSource, PointTarget >::computeTransformation(PointCloudSource &output, const Matrix4 &guess)=0 | pcl::Registration< PointSource, PointTarget > | [protected, pure virtual] |
ConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | |
converged_ | pcl::Registration< PointSource, PointTarget > | [protected] |
convertTransform(const Eigen::Matrix< double, 6, 1 > &x, Eigen::Affine3f &trans) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline, static] |
convertTransform(const Eigen::Matrix< double, 6, 1 > &x, Eigen::Matrix4f &trans) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline, static] |
corr_dist_threshold_ | pcl::Registration< PointSource, PointTarget > | [protected] |
correspondence_estimation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
correspondence_rejectors_ | pcl::Registration< PointSource, PointTarget > | [protected] |
CorrespondenceEstimation typedef | pcl::Registration< PointSource, PointTarget > | |
CorrespondenceEstimationConstPtr typedef | pcl::Registration< PointSource, PointTarget > | |
CorrespondenceEstimationPtr typedef | pcl::Registration< PointSource, PointTarget > | |
CorrespondenceRejectorPtr typedef | pcl::Registration< PointSource, PointTarget > | |
correspondences_ | pcl::Registration< PointSource, PointTarget > | [protected] |
deinitCompute() | pcl::PCLBase< PointSource > | [protected] |
euclidean_fitness_epsilon_ | pcl::Registration< PointSource, PointTarget > | [protected] |
fake_indices_ | pcl::PCLBase< PointSource > | [protected] |
final_transformation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
force_no_recompute_ | pcl::Registration< PointSource, PointTarget > | [protected] |
force_no_recompute_reciprocal_ | pcl::Registration< PointSource, PointTarget > | [protected] |
gauss_d1_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
gauss_d2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
getClassName() const | pcl::Registration< PointSource, PointTarget > | [inline] |
getCorrespondenceRejectors() | pcl::Registration< PointSource, PointTarget > | [inline] |
getEuclideanFitnessEpsilon() | pcl::Registration< PointSource, PointTarget > | [inline] |
getFinalNumIteration() const | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
getFinalTransformation() | pcl::Registration< PointSource, PointTarget > | [inline] |
getFitnessScore(double max_range=std::numeric_limits< double >::max()) | pcl::Registration< PointSource, PointTarget > | [inline] |
getFitnessScore(const std::vector< float > &distances_a, const std::vector< float > &distances_b) | pcl::Registration< PointSource, PointTarget > | [inline] |
getIndices() | pcl::PCLBase< PointSource > | [inline] |
getInputCloud() | pcl::PCLBase< PointSource > | [inline] |
getInputSource() | pcl::Registration< PointSource, PointTarget > | [inline] |
getInputTarget() | pcl::Registration< PointSource, PointTarget > | [inline] |
getLastIncrementalTransformation() | pcl::Registration< PointSource, PointTarget > | [inline] |
getMaxCorrespondenceDistance() | pcl::Registration< PointSource, PointTarget > | [inline] |
getMaximumIterations() | pcl::Registration< PointSource, PointTarget > | [inline] |
getOulierRatio() const | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
getRANSACIterations() | pcl::Registration< PointSource, PointTarget > | [inline] |
getRANSACOutlierRejectionThreshold() | pcl::Registration< PointSource, PointTarget > | [inline] |
getResolution() const | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
getSearchMethodSource() const | pcl::Registration< PointSource, PointTarget > | [inline] |
getSearchMethodTarget() const | pcl::Registration< PointSource, PointTarget > | [inline] |
getStepSize() const | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
getTransformationEpsilon() | pcl::Registration< PointSource, PointTarget > | [inline] |
getTransformationProbability() const | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
h_ang_a2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_a3_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_b2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_b3_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_c2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_c3_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_d1_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_d2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_d3_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_e1_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_e2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_e3_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_f1_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_f2_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
h_ang_f3_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
hasConverged() | pcl::Registration< PointSource, PointTarget > | [inline] |
indices_ | pcl::PCLBase< PointSource > | [protected] |
init() | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline, protected] |
initCompute() | pcl::Registration< PointSource, PointTarget > | |
initComputeReciprocal() | pcl::Registration< PointSource, PointTarget > | |
inlier_threshold_ | pcl::Registration< PointSource, PointTarget > | [protected] |
input_ | pcl::PCLBase< PointSource > | [protected] |
j_ang_a_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
j_ang_b_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
j_ang_c_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
j_ang_d_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
j_ang_e_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
j_ang_f_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
j_ang_g_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
j_ang_h_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
KdTree typedef | pcl::Registration< PointSource, PointTarget > | |
KdTreePtr typedef | pcl::Registration< PointSource, PointTarget > | |
KdTreeReciprocal typedef | pcl::Registration< PointSource, PointTarget > | |
KdTreeReciprocalPtr typedef | pcl::Registration< PointSource, PointTarget > | |
Matrix4 typedef | pcl::Registration< PointSource, PointTarget > | |
max_iterations_ | pcl::Registration< PointSource, PointTarget > | [protected] |
min_number_correspondences_ | pcl::Registration< PointSource, PointTarget > | [protected] |
NormalDistributionsTransform() | pcl::NormalDistributionsTransform< PointSource, PointTarget > | |
nr_iterations_ | pcl::Registration< PointSource, PointTarget > | [protected] |
operator[](size_t pos) | pcl::PCLBase< PointSource > | [inline] |
outlier_ratio_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PCL_DEPRECATED(void setInputCloud(const PointCloudSourceConstPtr &cloud),"[pcl::registration::Registration::setInputCloud] setInputCloud is deprecated. Please use setInputSource instead.") | pcl::Registration< PointSource, PointTarget > | |
PCL_DEPRECATED(PointCloudSourceConstPtr const getInputCloud(),"[pcl::registration::Registration::getInputCloud] getInputCloud is deprecated. Please use getInputSource instead.") | pcl::Registration< PointSource, PointTarget > | |
PCLBase() | pcl::PCLBase< PointSource > | |
PCLBase(const PCLBase &base) | pcl::PCLBase< PointSource > | |
point_gradient_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
point_hessian_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointCloud typedef | pcl::PCLBase< PointSource > | |
PointCloudConstPtr typedef | pcl::PCLBase< PointSource > | |
PointCloudPtr typedef | pcl::PCLBase< PointSource > | |
PointCloudSource typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointCloudSourceConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointCloudSourcePtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointCloudTarget typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointCloudTargetConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointCloudTargetPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointIndicesConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointIndicesPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
PointRepresentationConstPtr typedef | pcl::Registration< PointSource, PointTarget > | |
previous_transformation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
Ptr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | |
ransac_iterations_ | pcl::Registration< PointSource, PointTarget > | [protected] |
reg_name_ | pcl::Registration< PointSource, PointTarget > | [protected] |
registerVisualizationCallback(boost::function< FunctionSignature > &visualizerCallback) | pcl::Registration< PointSource, PointTarget > | [inline] |
Registration() | pcl::Registration< PointSource, PointTarget > | [inline] |
removeCorrespondenceRejector(unsigned int i) | pcl::Registration< PointSource, PointTarget > | [inline] |
resolution_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
searchForNeighbors(const PointCloudSource &cloud, int index, std::vector< int > &indices, std::vector< float > &distances) | pcl::Registration< PointSource, PointTarget > | [inline, protected] |
setCorrespondenceEstimation(const CorrespondenceEstimationPtr &ce) | pcl::Registration< PointSource, PointTarget > | [inline] |
setEuclideanFitnessEpsilon(double epsilon) | pcl::Registration< PointSource, PointTarget > | [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(size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols) | pcl::PCLBase< PointSource > | [virtual] |
setInputCloud(const PointCloudConstPtr &cloud) | pcl::PCLBase< PointSource > | [virtual] |
setInputSource(const PointCloudSourceConstPtr &cloud) | pcl::Registration< PointSource, PointTarget > | [inline, virtual] |
setInputTarget(const PointCloudTargetConstPtr &cloud) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
Registration< PointSource, PointTarget >::setInputTarget(const PointCloudTargetConstPtr &cloud) | pcl::Registration< PointSource, PointTarget > | [inline, virtual] |
setMaxCorrespondenceDistance(double distance_threshold) | pcl::Registration< PointSource, PointTarget > | [inline] |
setMaximumIterations(int nr_iterations) | pcl::Registration< PointSource, PointTarget > | [inline] |
setOulierRatio(double outlier_ratio) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
setPointRepresentation(const PointRepresentationConstPtr &point_representation) | pcl::Registration< PointSource, PointTarget > | [inline] |
setRANSACIterations(int ransac_iterations) | pcl::Registration< PointSource, PointTarget > | [inline] |
setRANSACOutlierRejectionThreshold(double inlier_threshold) | pcl::Registration< PointSource, PointTarget > | [inline] |
setResolution(float resolution) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
setSearchMethodSource(const KdTreeReciprocalPtr &tree, bool force_no_recompute=false) | pcl::Registration< PointSource, PointTarget > | [inline] |
setSearchMethodTarget(const KdTreePtr &tree, bool force_no_recompute=false) | pcl::Registration< PointSource, PointTarget > | [inline] |
setStepSize(double step_size) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline] |
setTransformationEpsilon(double epsilon) | pcl::Registration< PointSource, PointTarget > | [inline] |
setTransformationEstimation(const TransformationEstimationPtr &te) | pcl::Registration< PointSource, PointTarget > | [inline] |
source_cloud_updated_ | pcl::Registration< PointSource, PointTarget > | [protected] |
step_size_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
target_ | pcl::Registration< PointSource, PointTarget > | [protected] |
target_cells_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
target_cloud_updated_ | pcl::Registration< PointSource, PointTarget > | [protected] |
TargetGrid typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
TargetGridConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
TargetGridLeafConstPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
TargetGridPtr typedef | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
trans_probability_ | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
transformation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
transformation_epsilon_ | pcl::Registration< PointSource, PointTarget > | [protected] |
transformation_estimation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
TransformationEstimation typedef | pcl::Registration< PointSource, PointTarget > | |
TransformationEstimationConstPtr typedef | pcl::Registration< PointSource, PointTarget > | |
TransformationEstimationPtr typedef | pcl::Registration< PointSource, PointTarget > | |
tree_ | pcl::Registration< PointSource, PointTarget > | [protected] |
tree_reciprocal_ | pcl::Registration< PointSource, PointTarget > | [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) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
update_visualizer_ | pcl::Registration< PointSource, PointTarget > | [protected] |
updateDerivatives(Eigen::Matrix< double, 6, 1 > &score_gradient, Eigen::Matrix< double, 6, 6 > &hessian, Eigen::Vector3d &x_trans, Eigen::Matrix3d &c_inv, bool compute_hessian=true) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
updateHessian(Eigen::Matrix< double, 6, 6 > &hessian, Eigen::Vector3d &x_trans, Eigen::Matrix3d &c_inv) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [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) | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [protected] |
use_indices_ | pcl::PCLBase< PointSource > | [protected] |
~NormalDistributionsTransform() | pcl::NormalDistributionsTransform< PointSource, PointTarget > | [inline, virtual] |
~PCLBase() | pcl::PCLBase< PointSource > | [inline, virtual] |
~Registration() | pcl::Registration< PointSource, PointTarget > | [inline, virtual] |