open3d.pipelines.registration.GlobalOptimizationConvergenceCriteria#
- class open3d.pipelines.registration.GlobalOptimizationConvergenceCriteria#
Convergence criteria of GlobalOptimization.
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: open3d.cpu.pybind.pipelines.registration.GlobalOptimizationConvergenceCriteria) -> None
Default constructor
__init__(self: open3d.cpu.pybind.pipelines.registration.GlobalOptimizationConvergenceCriteria, arg0: open3d.cpu.pybind.pipelines.registration.GlobalOptimizationConvergenceCriteria) -> None
Copy constructor
- property lower_scale_factor#
Lower scale factor value.
- Type:
float
- property max_iteration#
Maximum iteration number for iterative optimization module.
- Type:
int
- property max_iteration_lm#
Maximum iteration number for Levenberg Marquardt method. max_iteration_lm is used for additional Levenberg-Marquardt inner loop that automatically changes steepest gradient gain.
- Type:
int
- property min_relative_increment#
Minimum relative increments.
- Type:
float
- property min_relative_residual_increment#
Minimum relative residual increments.
- Type:
float
- property min_residual#
Minimum residual value.
- Type:
float
- property min_right_term#
Minimum right term value.
- Type:
float
- property upper_scale_factor#
Upper scale factor value. Scaling factors are used for levenberg marquardt algorithm these are scaling factors that increase/decrease lambda used in H_LM = H + lambda * I
- Type:
float