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OpenFace/model_training/learn_error_mapping/standardise_landmarks.m

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Matlab

function [landmark_labels] = standardise_landmarks(landmarks)
left_to_frontal_map = [17,28; 18,29; 19,30; 20,31;
21,34; 22,32; 23,39; 24,38; 25,37; 26,42; 27,41;
28,52; 29,51; 30,50; 31,49; 32,60; 33,59; 34,58;
35,63; 36,62; 37,61; 38,68; 39,67];
right_to_frontal_map = [17,28; 18,29; 19,30; 20,31;
21,34; 22,36; 23,44; 24,45; 25,46; 26,47; 27,48;
28,52; 29,53; 30,54; 31,55; 32,56; 33,57; 34,58;
35,63; 36,64; 37,65; 38,66; 39,67];
landmark_labels = zeros(68,2);
if(size(landmarks,1) == 39)
% Determine if the points are clock-wise or counter clock-wise
% Clock-wise points are facing left, counter-clock-wise right
sum = 0;
for k=1:11
step = (landmarks(k+1,1) - landmarks(k,1)) * (landmarks(k+1,2) + landmarks(k,2));
sum = sum + step;
end
if(sum > 0)
% First need to resample the face outline as there are 9
% points in the near-frontal and 10 points in profile for
% the outline of the face
outline = iterate_piece_wise(landmarks(1:10,:), 9);
brow = iterate_piece_wise(landmarks(13:16,:), 5);
landmark_labels(1:9,:) = outline;
landmark_labels(18:22,:) = brow;
landmark_labels(left_to_frontal_map(:,2),:) = landmarks(left_to_frontal_map(:,1),:);
else
outline = iterate_piece_wise(landmarks(10:-1:1,:), 9);
brow = iterate_piece_wise(landmarks(16:-1:13,:), 5);
landmark_labels(9:17,:) = outline;
landmark_labels(23:27,:) = brow;
landmark_labels(right_to_frontal_map(:,2),:) = landmarks(right_to_frontal_map(:,1),:);
end
else
landmark_labels = landmarks;
end
end