gusucode.com > 基于matlab软件,实现双目视觉原理的摄像机标定,能根据各视场图像求内、外部参数 > 基于matlab软件,实现双目视觉原理的摄像机标定,能根据各视场图像求内、外部参数/TOOLBOX_calib/comp_distortion2.m

    function [x_comp]  = comp_distortion(x_dist,k2);

%       [x_comp] = comp_distortion(x_dist,k2);
%       
%       compensates the radial distortion of the camera
%       on the image plane.
%       
%       x_dist : the image points got without considering the
%                radial distortion.
%       k2: Radial distortion factor
%
%       x : The image plane points after correction for the distortion
%       
%       x and x_dist are 2xN arrays
%
%       NOTE : This compensation has to be done after the substraction
%              of the center of projection, and division by the focal
%              length.
%       
%  Solve for cubic roots using method from Numerical Recipes in C 2nd Ed.
%  pages 184-185.


% California Institute of Technology
% (c) Jean-Yves Bouguet - April 27th, 1998

% fully checked! JYB, april 27th, 1998 - 2am

if k2 ~= 0,

[two,N] = size(x_dist);

if (two ~= 2 ), 
 error('ERROR : The dimension of the points should be 2xN');
end;


ph = atan2(x_dist(2,:),x_dist(1,:));

Q = -1/(3*k2);
R = -x_dist(1,:)./(2*k2*cos(ph));

R2 = R.^2;
Q3 = Q^3;


if k2 < 0,
   
   % this works in all practical situations (it starts failing for very large
   % values of k2)
      
   th = acos(R./sqrt(Q3));
   r = -2*sqrt(Q)*cos((th-2*pi)/3);

else
   
   % note: this always works, even for ridiculous values of k2
   
   A = (sqrt(R2-Q3)-R).^(1/3); 
   B = Q*(1./A);
   r = (A+B);
  
end;

x_comp = [r.*cos(ph); r.*sin(ph)];

else
   
   x_comp = x_dist;

end;

x_comp = real(x_comp);