open3d.pipelines.registration.TransformationEstimationForColoredICP#

class open3d.pipelines.registration.TransformationEstimationForColoredICP#

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

__init__(*args, **kwargs)#

Overloaded function.

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

Default constructor

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

Copy constructor

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

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

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

compute_rmse(self: open3d.pipelines.registration.TransformationEstimation, source: open3d.geometry.PointCloud, target: open3d.geometry.PointCloud, corres: open3d.utility.Vector2iVector) float#

Compute RMSE between source and target points cloud given correspondences.

Parameters:
Returns:

float

compute_transformation(self: open3d.pipelines.registration.TransformationEstimation, source: open3d.geometry.PointCloud, target: open3d.geometry.PointCloud, corres: open3d.utility.Vector2iVector) numpy.ndarray[numpy.float64[4, 4]]#

Compute transformation from source to target point cloud given correspondences.

Parameters:
Returns:

numpy.ndarray[numpy.float64[4, 4]]

property kernel#

Robust Kernel used in the Optimization

property lambda_geometric#