xmf.fit_concave_ellipsoid_height

xmf.fit_concave_ellipsoid_height(x2d: ndarray, y2d: ndarray, z2d: ndarray, input_params_dict: dict, opt_or_tol_dict: dict)[source]

Fit the concave ellipsoid parameters from a measured height map.

Parameters:

x2d (numpy.ndarray) – The x coordinate in the suggested unit of [m]
y2d (numpy.ndarray) – The y coordinate in the suggested unit of [m]
z2d (numpy.ndarray) – The z coordinate in the suggested unit of [m]
input_params_dict (dict) – The input parameters dictionary containing p, q, theta, x_i (optional), and y_i (optional) in the suggested unit of [m] [m] [rad] [m]
opt_or_tol_dict (dict) – The structure to set whether optimization flag or tolerance for p, q, theta, x_i, y_i, z_i, alpha, beta, gamma.
init_params (numpy.ndarray) – The used initial parameters.

Returns:

z2d_residual (numpy.ndarray) – The height residual after the best fit.
z2d_fit (numpy.ndarray) – The fitted height
opt_params_dict (dict) – The optimized parameters in dictionary
opt_params_ci_dict (dict) – The confidence intervals of the optimized parameters in dictionary