sustaining_gazes/matlab_version/demo/face_image_depth_demo.m

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2016-04-28 21:40:36 +02:00
clear
addpath('../PDM_helpers/');
addpath(genpath('../fitting/'));
addpath('../models/');
addpath(genpath('../face_detection'));
addpath('../CCNF/');
%% loading the patch experts
[clmParams, pdm] = Load_CLM_params_66();
% A CLM-Z model trained on Multi-PIE and BU-4DFE
[patches] = Load_Patch_Experts( '../models/clmz/', 'svr_patches_multi_pie_*.mat', '../models/clmz/', 'svr_depth_patches_*.mat', clmParams);
clmParams.multi_modal_types = patches(1).multi_modal_types;
%%
images = {'sample_depth_imgs/1.jpg', 'sample_depth_imgs/2.jpg', 'sample_depth_imgs/3.jpg', 'sample_depth_imgs/4.jpg', 'sample_depth_imgs/5.jpg'};
images_depth = {'sample_depth_imgs/1d.png', 'sample_depth_imgs/2d.png', 'sample_depth_imgs/3d.png', 'sample_depth_imgs/4d.png', 'sample_depth_imgs/5d.png'};
verbose = true;
for img=1:numel(images)
image_orig = imread(images{img});
image_depth = imread(images_depth{img});
% Need to convert from the disparity to depth values, and threshold
image_depth = 10000./(image_depth);
image_depth(image_depth > 300) = 0;
% First attempt to use the Matlab one (fastest but not as accurate, if not present use yu et al.)
[bboxs] = detect_faces(image_orig, {'cascade', 'zhu'});
if(size(image_orig,3) == 3)
image = rgb2gray(image_orig);
end
%%
if(verbose)
f = figure;
if(max(image(:)) > 1)
imshow(double(image_orig)/255, 'Border', 'tight');
else
imshow(double(image_orig), 'Border', 'tight');
end
axis equal;
hold on;
end
for i=1:size(bboxs,2)
% Convert from the initial detected shape to CLM model parameters
bbox = bboxs(:,i);
% Use the initial global and local params for clm fitting in the image
[shape,~,~,lhood,lmark_lhood,view_used] = Fitting_from_bb(image, image_depth, bbox, pdm, patches, clmParams);
% shape correction for matlab format
shape = shape + 1;
if(verbose)
% valid points to draw (not to draw self-occluded ones)
v_points = logical(patches(1).visibilities(view_used,:));
try
plot(shape(v_points,1), shape(v_points',2),'.r','MarkerSize',20);
plot(shape(v_points,1), shape(v_points',2),'.b','MarkerSize',10);
catch warn
end
end
end
hold off;
end