Registration.h File Reference

#include <tuple>
#include <vector>
#include "cloudViewer/core/Tensor.h"
#include "cloudViewer/t/geometry/TensorMap.h"
#include "cloudViewer/t/pipelines/registration/TransformationEstimation.h"

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Classes
class	cloudViewer::t::pipelines::registration::ICPConvergenceCriteria
	Class that defines the convergence criteria of ICP. More...
class	cloudViewer::t::pipelines::registration::RegistrationResult

Namespaces
	cloudViewer
	Generic file read and write utility for python interface.
	cloudViewer::t
	cloudViewer::t::geometry
	cloudViewer::t::pipelines
	cloudViewer::t::pipelines::registration

Functions
RegistrationResult	cloudViewer::t::pipelines::registration::EvaluateRegistration (const geometry::PointCloud &source, const geometry::PointCloud &target, double max_correspondence_distance, const core::Tensor &transformation=core::Tensor::Eye(4, core::Float64, core::Device("CPU:0")))
	Function for evaluating registration between point clouds. More...
RegistrationResult	cloudViewer::t::pipelines::registration::ICP (const geometry::PointCloud &source, const geometry::PointCloud &target, const double max_correspondence_distance, const core::Tensor &init_source_to_target=core::Tensor::Eye(4, core::Float64, core::Device("CPU:0")), const TransformationEstimation &estimation=TransformationEstimationPointToPoint(), const ICPConvergenceCriteria &criteria=ICPConvergenceCriteria(), const double voxel_size=-1.0, const std::function< void(const std::unordered_map< std::string, core::Tensor > &)> &callback_after_iteration=nullptr)
	Functions for ICP registration. More...
RegistrationResult	cloudViewer::t::pipelines::registration::MultiScaleICP (const geometry::PointCloud &source, const geometry::PointCloud &target, const std::vector< double > &voxel_sizes, const std::vector< ICPConvergenceCriteria > &criteria_list, const std::vector< double > &max_correspondence_distances, const core::Tensor &init_source_to_target=core::Tensor::Eye(4, core::Float64, core::Device("CPU:0")), const TransformationEstimation &estimation=TransformationEstimationPointToPoint(), const std::function< void(const std::unordered_map< std::string, core::Tensor > &)> &callback_after_iteration=nullptr)
	Functions for Multi-Scale ICP registration. It will run ICP on different voxel level, from coarse to dense. The vector of ICPConvergenceCriteria(relative fitness, relative rmse, max_iterations) contains the stopping condition for each voxel level. The length of voxel_sizes vector, criteria vector, max_correspondence_distances vector must be same, and voxel_sizes must contain positive values in strictly decreasing order [Lower the voxel size, higher is the resolution]. Only the last value of the voxel_sizes vector can be {-1}, as it allows to run on the original scale without downsampling. More...
core::Tensor	cloudViewer::t::pipelines::registration::GetInformationMatrix (const geometry::PointCloud &source, const geometry::PointCloud &target, const double max_correspondence_distance, const core::Tensor &transformation)
	Computes Information Matrix, from the transfromation between source and target pointcloud. It returns the Information Matrix of shape {6, 6}, of dtype Float64 on device CPU:0. More...