open3d.pipelines.registration.GlobalOptimizationLevenbergMarquardt

class open3d.pipelines.registration.GlobalOptimizationLevenbergMarquardt

Global optimization with Levenberg-Marquardt algorithm. Recommended over the Gauss-Newton method since the LM has better convergence characteristics.

OptimizePoseGraph(self, pose_graph, criteria, option)

Run pose graph optimization.

Parameters:

• pose_graph (open3d.pipelines.registration.PoseGraph) – The pose graph to be optimized (in-place).

• criteria (open3d.pipelines.registration.GlobalOptimizationConvergenceCriteria) – Convergence criteria.

• option (open3d.pipelines.registration.GlobalOptimizationOption) – Global optimization options.

Returns:

None

__init__(*args, **kwargs)

Overloaded function.

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

Default constructor

2. __init__(self: open3d.cpu.pybind.pipelines.registration.GlobalOptimizationLevenbergMarquardt, arg0: open3d.cpu.pybind.pipelines.registration.GlobalOptimizationLevenbergMarquardt) -> None

Copy constructor