Source code for sksurgeryfred.algorithms.errors

#  -*- coding: utf-8 -*-

"""
Functions for point based registration using Orthogonal Procrustes.
"""

import numpy as np


[docs]def expected_absolute_value(std_devs): """ Returns the expected absolute value of a normal distribution with mean 0 and standard deviations std_dev """ onedsd = np.linalg.norm(std_devs) variance = onedsd * onedsd return variance