open3d.t.pipelines.registration.TransformationEstimationForColoredICP#

class open3d.t.pipelines.registration.TransformationEstimationForColoredICP#

Class to estimate a transformation between two point clouds using color information

__init__(*args, **kwargs)#

Overloaded function.

  1. __init__(self: open3d.cpu.pybind.t.pipelines.registration.TransformationEstimationForColoredICP) -> None

Default constructor

  1. __init__(self: open3d.cpu.pybind.t.pipelines.registration.TransformationEstimationForColoredICP, arg0: open3d.cpu.pybind.t.pipelines.registration.TransformationEstimationForColoredICP) -> None

Copy constructor

  1. __init__(self: open3d.cpu.pybind.t.pipelines.registration.TransformationEstimationForColoredICP, lambda_geometric: float, kernel: open3d.cpu.pybind.t.pipelines.registration.robust_kernel.RobustKernel) -> None

  2. __init__(self: open3d.cpu.pybind.t.pipelines.registration.TransformationEstimationForColoredICP, lambda_geometric: float) -> None

  3. __init__(self: open3d.cpu.pybind.t.pipelines.registration.TransformationEstimationForColoredICP, kernel: open3d.cpu.pybind.t.pipelines.registration.robust_kernel.RobustKernel) -> None

compute_rmse(self: open3d.t.pipelines.registration.TransformationEstimation, source: open3d.t.geometry.PointCloud, target: open3d.t.geometry.PointCloud, correspondences: open3d.core.Tensor) float#

Compute RMSE between source and target points cloud given correspondences.

Parameters:
  • source (open3d.t.geometry.PointCloud) – Source point cloud.

  • target (open3d.t.geometry.PointCloud) – Target point cloud.

  • correspondences (open3d.core.Tensor) – Tensor of type Int64 containing indices of corresponding target points, where the value is the target index and the index of the value itself is the source index. It contains -1 as value at index with no correspondence.

Returns:

float

compute_transformation(self: open3d.t.pipelines.registration.TransformationEstimation, source: open3d.t.geometry.PointCloud, target: open3d.t.geometry.PointCloud, correspondences: open3d.core.Tensor, current_transform: open3d.core.Tensor = [[1 0 0 0], [0 1 0 0], [0 0 1 0], [0 0 0 1]] Tensor[shape={4, 4}, stride={4, 1}, Float64, , iteration: int = 0) open3d.core.Tensor#

Compute transformation from source to target point cloud given correspondences.

Parameters:
  • source (open3d.t.geometry.PointCloud) – Source point cloud.

  • target (open3d.t.geometry.PointCloud) – Target point cloud.

  • correspondences (open3d.core.Tensor) – Tensor of type Int64 containing indices of corresponding target points, where the value is the target index and the index of the value itself is the source index. It contains -1 as value at index with no correspondence.

  • current_transform (open3d.core.Tensor, optional, default=[[1 0 0 0], [0 1 0 0], [0 0 1 0], [0 0 0 1]] Tensor[shape={4, 4}, stride={4, 1}, Float64) – The current pose estimate of ICP. ()

  • iteration (int, optional, default=0) – The current iteration number of the ICP algorithm.

Returns:

open3d.core.Tensor

property kernel#

Robust Kernel used in the Optimization

property lambda_geometric#