intrinsic and extrinsic physical camera parameters computation
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i am trying to do a physical camera parameter computer for intrinsic and extrinsic parameters of camera. i was asked to do it with direct parallel calibrate method but i could not find what it is anywhere. so i am using tsai's algorithm to compute parameters of camera. i am having some problems and error.. this is the code
% CalibTsai - computes the intrinsic and extrinsic parameters with Tsai's method.
%
% Usage:
% [K, R, t] = CalibTsai(x, X, u0, v0)
%
% Input:
% x : 3xn homogeneous image points (n: # of points)
% X : 3xn homogeneous object points (n: # of points)
%
% Output:
% K : Camera Intrinsic Matrix
% R : 3x3 Rotation Matrix
% t : 3x1 Translation Vector
X = imread('3D.bmp');
x = imread('2D.bmp');
%[K, R, t] = CalibTsai(x, X, u0, v0)
x(:,1) = x(:,1);
x(:,2) = x(:,2);
M = [ x(:,1).*X(:,1) x(:,1).*X(:,2) x(:,1).*X(:,3) x(:,1) ...
-x(:,2).*X(:,1) -x(:,2).*X(:,2) -x(:,2).*X(:,3) -x(:,2)];
[~,~,V] = svd(M);
scale = sqrt(V(1,8)^2 + V(2,8)^2 + V(3,8)^2);
alpha = sqrt(V(5,8)^2 + V(6,8)^2 + V(7,8)^2)/scale;
r1(1,1) = V(5,8)/alpha/scale;
r1(1,2) = V(6,8)/alpha/scale;
r1(1,3) = V(7,8)/alpha/scale;
r2(1,1) = V(1,8)/alpha/scale;
r2(1,2) = V(2,8)/scale;
r2(1,3) = V(3,8)/scale;
tx = V(8,8)/scale;
ty = V(4,8)/scale;
if ((x(1,2)+v0)*(r2(1,1)*X(1,1) + r2(1,2)*X(1,2) + r2(1,3)*X(1,3)) < 0)
r1(1,1) = -1*r1(1,1);
r1(1,2) = -1*r1(1,2);
r1(1,3) = -1*r1(1,3);
r2(1,1) = -1*r2(1,1);
r2(1,2) = -1*r2(1,2);
r2(1,3) = -1*r2(1,3);
tx = -tx;
ty = -ty;
end
r3 = cross(r1, r2);
A = [x(:,1) r1(1,1).*X(:,1)+r1(1,2).*X(:,2)+r1(1,3).*X(:,3)+tx];
b = (-x(:,1).*(r3(1,1).*X(:,1)+r3(1,2).*X(:,2)+r3(1,3).*X(:,3)));
Y = pinv(A)*b;
tz = Y(1);
fx = Y(2);
fy = fx/alpha;
K = [fx 0 u0; 0 fy v0; 0 0 1];
R = [r1; r2; r3];
t = [tx; ty; tz];
the error is
Matrix dimensions must agree.
Error in CalibTsai (line 23)
M = [ x(:,1).*X(:,1) x(:,1).*X(:,2) x(:,1).*X(:,3) x(:,1) ...
please let me know how to solve this problem. i need to compute the intrinsic and extrinsic parameters of s camera. also if there is any other way to compute it please let me know.
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