[810] | 1 | %=======================================================================
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| 2 | % Copyright 2008-2014, LEGI UMR 5519 / CNRS UJF G-INP, Grenoble, France
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| 3 | % http://www.legi.grenoble-inp.fr
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| 4 | % Joel.Sommeria - Joel.Sommeria (A) legi.cnrs.fr
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| 5 | %
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| 6 | % This file is part of the toolbox UVMAT.
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| 7 | %
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| 8 | % UVMAT is free software; you can redistribute it and/or modify
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| 9 | % it under the terms of the GNU General Public License as published
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| 10 | % by the Free Software Foundation; either version 2 of the license,
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| 11 | % or (at your option) any later version.
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| 12 | %
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| 13 | % UVMAT is distributed in the hope that it will be useful,
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| 14 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | % GNU General Public License (see LICENSE.txt) for more details.
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| 17 | %=======================================================================
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| 18 |
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[725] | 19 | function [omckk,Tckk,Rckk] = compute_extrinsic_init(x_kk,X_kk,fc,cc,kc,alpha_c),
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| 20 |
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| 21 | %compute_extrinsic
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| 22 | %
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| 23 | %[omckk,Tckk,Rckk] = compute_extrinsic_init(x_kk,X_kk,fc,cc,kc,alpha_c)
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| 24 | %
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| 25 | %Computes the extrinsic parameters attached to a 3D structure X_kk given its projection
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| 26 | %on the image plane x_kk and the intrinsic camera parameters fc, cc and kc.
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| 27 | %Works with planar and non-planar structures.
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| 28 | %
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| 29 | %INPUT: x_kk: Feature locations on the images
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| 30 | % X_kk: Corresponding grid coordinates
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| 31 | % fc: Camera focal length
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| 32 | % cc: Principal point coordinates
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| 33 | % kc: Distortion coefficients
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| 34 | % alpha_c: Skew coefficient
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| 35 | %
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| 36 | %OUTPUT: omckk: 3D rotation vector attached to the grid positions in space
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| 37 | % Tckk: 3D translation vector attached to the grid positions in space
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| 38 | % Rckk: 3D rotation matrices corresponding to the omc vectors
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| 39 | %
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| 40 | %Method: Computes the normalized point coordinates, then computes the 3D pose
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| 41 | %
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| 42 | %Important functions called within that program:
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| 43 | %
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| 44 | %normalize_pixel: Computes the normalize image point coordinates.
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| 45 | %
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| 46 | %pose3D: Computes the 3D pose of the structure given the normalized image projection.
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| 47 | %
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| 48 | %project_points.m: Computes the 2D image projections of a set of 3D points
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| 49 |
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| 50 |
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| 51 |
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| 52 | if nargin < 6,
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| 53 | alpha_c = 0;
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| 54 | if nargin < 5,
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| 55 | kc = zeros(5,1);
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| 56 | if nargin < 4,
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| 57 | cc = zeros(2,1);
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| 58 | if nargin < 3,
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| 59 | fc = ones(2,1);
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| 60 | if nargin < 2,
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| 61 | error('Need 2D projections and 3D points (in compute_extrinsic.m)');
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| 62 | return;
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| 63 | end;
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| 64 | end;
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| 65 | end;
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| 66 | end;
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| 67 | end;
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| 68 |
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| 69 |
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| 70 | %keyboard;
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| 71 |
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| 72 | % Compute the normalized coordinates:
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| 73 |
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| 74 | xn = normalize_pixel(x_kk,fc,cc,kc,alpha_c);
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| 75 |
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| 76 |
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| 77 |
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| 78 | Np = size(xn,2);
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| 79 |
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| 80 | %% Check for planarity of the structure:
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| 81 | %keyboard;
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| 82 |
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| 83 | X_mean = mean(X_kk')';
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| 84 |
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| 85 | Y = X_kk - (X_mean*ones(1,Np));
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| 86 |
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| 87 | YY = Y*Y';
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| 88 |
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| 89 | [U,S,V] = svd(YY);
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| 90 |
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| 91 | r = S(3,3)/S(2,2);
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| 92 |
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| 93 | %keyboard;
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| 94 |
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| 95 |
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| 96 | if (r < 1e-3)|(Np < 5), %1e-3, %1e-4, %norm(X_kk(3,:)) < eps, % Test of planarity
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| 97 |
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| 98 | %fprintf(1,'Planar structure detected: r=%f\n',r);
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| 99 |
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| 100 | % Transform the plane to bring it in the Z=0 plane:
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| 101 |
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| 102 | R_transform = V';
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| 103 |
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| 104 | %norm(R_transform(1:2,3))
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| 105 |
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| 106 | if norm(R_transform(1:2,3)) < 1e-6,
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| 107 | R_transform = eye(3);
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| 108 | end;
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| 109 |
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| 110 | if det(R_transform) < 0, R_transform = -R_transform; end;
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| 111 |
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| 112 | T_transform = -(R_transform)*X_mean;
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| 113 |
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| 114 | X_new = R_transform*X_kk + T_transform*ones(1,Np);
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| 115 |
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| 116 |
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| 117 | % Compute the planar homography:
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| 118 |
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| 119 | H = compute_homography(xn,X_new(1:2,:));
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| 120 |
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| 121 | % De-embed the motion parameters from the homography:
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| 122 |
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| 123 | sc = mean([norm(H(:,1));norm(H(:,2))]);
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| 124 |
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| 125 | H = H/sc;
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| 126 |
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| 127 | % Extra normalization for some reasons...
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| 128 | %H(:,1) = H(:,1)/norm(H(:,1));
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| 129 | %H(:,2) = H(:,2)/norm(H(:,2));
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| 130 |
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| 131 | if 0, %%% Some tests for myself... the opposite sign solution leads to negative depth!!!
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| 132 |
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| 133 | % Case#1: no opposite sign:
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| 134 |
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| 135 | omckk1 = rodrigues([H(:,1:2) cross(H(:,1),H(:,2))]);
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| 136 | Rckk1 = rodrigues(omckk1);
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| 137 | Tckk1 = H(:,3);
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| 138 |
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| 139 | Hs1 = [Rckk1(:,1:2) Tckk1];
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| 140 | xn1 = Hs1*[X_new(1:2,:);ones(1,Np)];
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| 141 | xn1 = [xn1(1,:)./xn1(3,:) ; xn1(2,:)./xn1(3,:)];
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| 142 | e1 = xn1 - xn;
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| 143 |
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| 144 | % Case#2: opposite sign:
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| 145 |
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| 146 | omckk2 = rodrigues([-H(:,1:2) cross(H(:,1),H(:,2))]);
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| 147 | Rckk2 = rodrigues(omckk2);
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| 148 | Tckk2 = -H(:,3);
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| 149 |
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| 150 | Hs2 = [Rckk2(:,1:2) Tckk2];
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| 151 | xn2 = Hs2*[X_new(1:2,:);ones(1,Np)];
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| 152 | xn2 = [xn2(1,:)./xn2(3,:) ; xn2(2,:)./xn2(3,:)];
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| 153 | e2 = xn2 - xn;
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| 154 |
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| 155 | if 1, %norm(e1) < norm(e2),
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| 156 | omckk = omckk1;
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| 157 | Tckk = Tckk1;
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| 158 | Rckk = Rckk1;
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| 159 | else
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| 160 | omckk = omckk2;
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| 161 | Tckk = Tckk2;
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| 162 | Rckk = Rckk2;
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| 163 | end;
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| 164 |
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| 165 | else
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| 166 |
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| 167 | u1 = H(:,1);
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| 168 | u1 = u1 / norm(u1);
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| 169 | u2 = H(:,2) - dot(u1,H(:,2)) * u1;
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| 170 | u2 = u2 / norm(u2);
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| 171 | u3 = cross(u1,u2);
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| 172 | RRR = [u1 u2 u3];
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| 173 | omckk = rodrigues(RRR);
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| 174 |
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| 175 | %omckk = rodrigues([H(:,1:2) cross(H(:,1),H(:,2))]);
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| 176 | Rckk = rodrigues(omckk);
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| 177 | Tckk = H(:,3);
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| 178 |
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| 179 | end;
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| 180 |
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| 181 |
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| 182 |
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| 183 | %If Xc = Rckk * X_new + Tckk, then Xc = Rckk * R_transform * X_kk + Tckk + T_transform
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| 184 |
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| 185 | Tckk = Tckk + Rckk* T_transform;
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| 186 | Rckk = Rckk * R_transform;
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| 187 |
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| 188 | omckk = rodrigues(Rckk);
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| 189 | Rckk = rodrigues(omckk);
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| 190 |
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| 191 |
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| 192 | else
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| 193 |
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| 194 | %fprintf(1,'Non planar structure detected: r=%f\n',r);
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| 195 |
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| 196 | % Computes an initial guess for extrinsic parameters (works for general 3d structure, not planar!!!):
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| 197 | % The DLT method is applied here!!
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| 198 |
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| 199 | J = zeros(2*Np,12);
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| 200 |
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| 201 | xX = (ones(3,1)*xn(1,:)).*X_kk;
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| 202 | yX = (ones(3,1)*xn(2,:)).*X_kk;
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| 203 |
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| 204 | J(1:2:end,[1 4 7]) = -X_kk';
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| 205 | J(2:2:end,[2 5 8]) = X_kk';
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| 206 | J(1:2:end,[3 6 9]) = xX';
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| 207 | J(2:2:end,[3 6 9]) = -yX';
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| 208 | J(1:2:end,12) = xn(1,:)';
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| 209 | J(2:2:end,12) = -xn(2,:)';
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| 210 | J(1:2:end,10) = -ones(Np,1);
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| 211 | J(2:2:end,11) = ones(Np,1);
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| 212 |
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| 213 | JJ = J'*J;
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| 214 | [U,S,V] = svd(JJ);
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| 215 |
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| 216 | RR = reshape(V(1:9,12),3,3);
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| 217 |
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| 218 | if det(RR) < 0,
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| 219 | V(:,12) = -V(:,12);
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| 220 | RR = -RR;
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| 221 | end;
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| 222 |
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| 223 | [Ur,Sr,Vr] = svd(RR);
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| 224 |
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| 225 | Rckk = Ur*Vr';
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| 226 |
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| 227 | sc = norm(V(1:9,12)) / norm(Rckk(:));
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| 228 | Tckk = V(10:12,12)/sc;
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| 229 |
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| 230 | omckk = rodrigues(Rckk);
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| 231 | Rckk = rodrigues(omckk);
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| 232 |
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| 233 | end;
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