ModelTrainingParameters
(no description)
Member Variables
relativeSamplingDistance-
float, default:\{0.03f\}JSON Type: float +Requirement: Must be in (0, 1). Determines the minimum distance between points on the model relative to the model diameter during sampling.
invertNormals-
bool, default:{true}JSON Type: bool Determines whether to invert all normals of the model.
poseRefinementRelativeSamplingDistance-
float, default:\{0.01f\}JSON Type: float +Requirement: Must be in (0, 1). Determines the sampling distance for the pose refinement step. Lower value ⇒ larger model, slower but more accurate.
featStepRelativeSize-
float, default:\{0.03f\}JSON Type: float +Requirement: Must be in (0, 1). Set the discretization distance of the point pair distance relative to the object’s diameter. This value defaults to the value of RelSamplingDistance. It is not recommended to change this value. For very noisy scenes, the value can be increased to improve the robustness of the matching against noisy points.
featAngleResolution-
int, default:{30}JSON Type: int +Requirement: Must be larger than 1. Determines the angular discretization. Higher values ⇒ more accurate matching, less robustness against noise.