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proj2distCoef.m
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executable file
·46 lines (40 loc) · 2.08 KB
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function [ coeffs ] = proj2distCoef( points2Cam, eyes, cameras)
%PROJ2DISTCOEF Projection errors coefficient to compare them with 3D errors
% When the error function contains both 3D and reprojection errors,
% the reprojection errors are multiplied a coefficient determined
% from the intrinsic parameters of cameras and distance of the end-effector from the eye
%INPUT - points2Cam - points in cameras coordinate system
% - eyes - cameras intrinsic parameters (dist coeffs and camera matrix)
% - cameras - number of poses in poses set
%OUTPUT - coeffs - row vector of coefficients for alternating coordinates
% Copyright (C) 2019-2021 Jakub Rozlivek and Lukas Rustler
% Department of Cybernetics, Faculty of Electrical Engineering,
% Czech Technical University in Prague
%
% This file is part of Multisensorial robot calibration toolbox (MRC).
%
% MRC is free software: you can redistribute it and/or modify
% it under the terms of the GNU Lesser General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% MRC is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU Lesser General Public License for more details.
%
% You should have received a copy of the GNU Leser General Public License
% along with MRC. If not, see <http://www.gnu.org/licenses/>.
fx = reshape(eyes.matrix(1,1,:), 1,[]);
fy = reshape(eyes.matrix(2,2,:), 1,[]);
cameras = cameras.*(1:size(cameras,2)); % convert logical array to array of used cameras
cameras = reshape(cameras',[],1);
cameras(cameras==0) = [];
if(~isempty(cameras))
coeffs(2*length(cameras)) = 0;
coeffs(1:2:end) = sqrt(sum(points2Cam(1:3,:).^2,1))./fx(cameras);
coeffs(2:2:end) = sqrt(sum(points2Cam(1:3,:).^2,1))./fy(cameras);
else
coeffs = [];
end
end