[37] | 1 | function [err, aff_err] = real_intensity(s,n) |
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| 2 | % fo = fraction of frames points are occluded. |
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| 3 | % nframes = number frames |
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| 4 | % npoints = number points |
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| 5 | % frot = fraction of 2*pi for rotation in depth. |
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| 6 | % sigma = magnitude of Gaussian error. Pt. coordinates typically range |
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| 7 | % between -1 and 1, so a reasonable setting might be .01, or .005. |
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| 8 | % s = number of samples to draw in my method. |
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| 9 | % n = number times to repeat exp. |
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| 10 | |
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| 11 | % there are a number of other parameters set in these experiments. |
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| 12 | % In motion generation, there is amount of translation (0) and in-plane rotation. |
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| 13 | % in shum there are the number of iterations to try. |
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| 14 | |
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| 15 | num_random_starts = 5; |
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| 16 | |
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| 17 | % scaled_corner_data; |
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| 18 | % M = M(:,[1:100,201:400]); |
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| 19 | |
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| 20 | test2_data; |
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| 21 | M = test2_im_data; |
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| 22 | |
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| 23 | [nr,m] = size(M); |
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| 24 | ERR = zeros(nr,m); |
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| 25 | |
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| 26 | % for i = 1:100 |
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| 27 | % norms(:,i) = [1 0 0 1]'; |
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| 28 | % end |
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| 29 | % for k = 1:10 |
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| 30 | % for i = 1:10 |
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| 31 | % norms(:,100 + (k-1)*20 + i) = [0 1 0 1]'; |
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| 32 | % end |
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| 33 | % for i = 11:20 |
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| 34 | % norms(:,100 + (k-1)*20 + i) = [0 0 1 1]'; |
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| 35 | % end |
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| 36 | % end |
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| 37 | |
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| 38 | for i = 1:432 |
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| 39 | norms(:,i) = [1 0 0 1]'; |
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| 40 | end |
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| 41 | |
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| 42 | for j = 1:n |
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| 43 | |
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| 44 | % INC = rand(nr,m) > fo; |
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| 45 | INC = (test2_im_data > -.8); |
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| 46 | |
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| 47 | if rem(j,1000)==0 |
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| 48 | [e, a] = compare_affine(M,INC,3,ERR,norms,s,num_random_starts); |
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| 49 | err = [err', e']' |
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| 50 | aff_err = [aff_err', a']' |
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| 51 | else |
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| 52 | [e, a] = compare_affine(M,INC,3,ERR,norms,s,num_random_starts); |
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| 53 | err = [err', e']'; |
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| 54 | aff_err = [aff_err', a']'; |
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| 55 | end |
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| 56 | end |
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| 57 | |
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