You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: Estimator.m
    path of file: ./repos/mexopencv/+cv
    
    the code of the file until where you have to start completion: classdef Estimator < handle
    %ESTIMATOR  Rotation estimator base class
    %
    % It takes features of all images, pairwise matches between all images
    % and estimates rotations of all cameras.
    %
    % Note: The coordinate system origin is implementation-dependent, but you
    % can always normalize the rotations in respect to the first camera, for
    % instance.
    %
    % See also: cv.St
    
function [f0, f1, f0_ok, f1_ok] = focalsFromHomography(H)
            %FOCALSFROMHOMOGRAPHY  Tries to estimate focal lengths from the given homography under the assumption that the camera undergoes rotations around its centre only
            %
            %     [f0, f1] = cv.Estimator.focalsFromHomography(H)
            %     [f0, f1, f0_ok, f1_ok] = cv.Estimator.focalsFromHomography(H)
            %
            % ## Input
            % * __H__ Homography, 3x3 double matrix.
            %
            % ## Output
            % * __f0__ Estimated focal length along X axis.
            % * __f1__ Estimated focal length along Y axis.
            % * **f0_ok** True, if `f0` was estimated successfully, false
            %   otherwise.
            % * **f1_ok** True, if `f1` was estimated successfully, false
            %   otherwise.
            %
            % ## References
            % > Heung-Yeung Shum and Richard Szeliski. "Construction of
            % > of Panoramic Image Mosaics with Global and Local Alignment".
            %
            [f0, f1, f0_ok, f1_ok] = Estimator_(0, 'focalsFromHomography', H);
        end