pub enum Algorithm {
KabschUmeyama,
RobustArun,
}Expand description
Algorithm selection for point cloud alignment.
This enum specifies which algorithm to use when aligning two sets of 3D points. Different algorithms have different robustness characteristics and computational requirements.
Variants§
KabschUmeyama
The Kabsch-Umeyama algorithm for point set alignment.
This is a classic algorithm that finds the optimal similarity transformation (scale, rotation, translation) between two point sets. It’s mathematically elegant but can be sensitive to outliers.
RobustArun
A robustly-scaled variant of the Arun, Huang, and Blostein algorithm.
This algorithm provides more robust scaling estimation compared to Kabsch-Umeyama, making it more suitable for real-world data that may contain noise or outliers.
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impl Freeze for Algorithm
impl RefUnwindSafe for Algorithm
impl Send for Algorithm
impl Sync for Algorithm
impl Unpin for Algorithm
impl UnwindSafe for Algorithm
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