CS计算机代考程序代写 % Direct Image Alignment

% Direct Image Alignment
% Code by R. Maier, J. Engel

% select dataset
dataset = 1;
% 1 = fr1/xyz:
% expected result approximately -0.0018 0.0065 0.0369 -0.0287 -0.0184 -0.0004
% 2 = fr3/long_office_household:
% expected result approximately 0.2979 -0.0106 0.0452 -0.0041 -0.0993 -0.0421

% use numeric/analytic derivatives (true=numeric, false=analytic)
useNumeric = true;

% load dataset
if (dataset == 1)
% camera intrinsics
K = [517.3 0 318.6; 0 516.5 255.3; 0 0 1];
% first pair of input frames
c1 = double(imreadbw(‘rgb/1305031102.275326.png’));
c2 = double(imreadbw(‘rgb/1305031102.175304.png’));
d1 = double(imread(‘depth/1305031102.262886.png’))/5000;
d2 = double(imread(‘depth/1305031102.160407.png’))/5000;
else
% camera intrinsics
K = [ 535.4 0 320.1; 0 539.2 247.6; 0 0 1];
% second pair of input frames
c1 = double(imreadbw(‘rgb/1341847980.722988.png’));
%c1 = double(imreadbw(‘rgb/1341847980.722988_broken.png’));
c2 = double(imreadbw(‘rgb/1341847982.998783.png’));
d1 = double(imread(‘depth/1341847980.723020.png’))/5000;
d2 = double(imread(‘depth/1341847982.998830.png’))/5000;
end

% initialization
xi = [0 0 0 0 0 0]’;

% pyramid levels
for lvl = 5:-1:1
lvl

% downscale reference frame (intensity image, depth map and K-matrix)
[IRef, DRef, Klvl] = downscale(c1,d1,K,lvl);
% downscale target frame (intensity image and depth map)
[I, D] = downscale(c2,d2,K,lvl);

% just do at most 20 steps.
errLast = 1e10;
for i=1:20
subplot(1,2,1);

% calculate Jacobian of residual function (Matrix of dim (width*height) x 6)
if (useNumeric)
% use numeric derivatives
[Jac, residual] = deriveNumeric(IRef,DRef,I,xi,Klvl);
else
% use analytic derivatives
[Jac, residual] = deriveAnalytic(IRef,DRef,I,xi,Klvl);
end
axis equal

% set rows with NaN to 0 (e.g. because out-of-bounds or invalid depth).
notValid = isnan(sum(Jac,2));
residual(notValid,:) = 0;
Jac(notValid,:) = 0;

% do Gauss-Newton step
% TODO
%upd = …;

% multiply increment from left onto the current estimate
lastXi = xi;
% TODO
%xi = …
xi’

% get mean and display
err = mean(residual .* residual)
%calcErr(c1,d1,c2,xi,K);

% early break
if(err / errLast > 0.995)
break;
end

errLast = err;
end
end

subplot(122)
imshowpair(IRef,IRef + reshape(residual,size(IRef)))