sustaining_gazes/matlab_runners/Feature Point Experiments/compute_error.m
2016-04-28 15:40:36 -04:00

41 lines
1.6 KiB
Matlab

function [ error_per_image, err_pp, err_pp_dim ] = compute_error( ground_truth_all, detected_points_all )
%compute_error
% compute the average point-to-point Euclidean error normalized by the
% inter-ocular distance (measured as the Euclidean distance between the
% outer corners of the eyes)
%
% Inputs:
% grounth_truth_all, size: num_of_points x 2 x num_of_images
% detected_points_all, size: num_of_points x 2 x num_of_images
% Output:
% error_per_image, size: num_of_images x 1
num_of_images = size(ground_truth_all,3);
num_of_points = size(ground_truth_all,1);
error_per_image = zeros(num_of_images,1);
err_pp = zeros(num_of_images, num_of_points);
err_pp_dim = zeros(num_of_images, num_of_points, 2);
for i =1:num_of_images
detected_points = detected_points_all(:,:,i);
ground_truth_points = ground_truth_all(:,:,i);
if(num_of_points == 66 || num_of_points == 68)
interocular_distance = norm(ground_truth_points(37,:)-ground_truth_points(46,:));
else
interocular_distance = norm(ground_truth_points(37-17,:)-ground_truth_points(46-17,:));
end
sum=0;
for j=1:num_of_points
sum = sum+norm(detected_points(j,:)-ground_truth_points(j,:));
err_pp(i,j) = norm(detected_points(j,:)-ground_truth_points(j,:));
err_pp_dim(i,j,1) = detected_points(j,1)-ground_truth_points(j,1);
err_pp_dim(i,j,2) = detected_points(j,2)-ground_truth_points(j,2);
end
error_per_image(i) = sum/(num_of_points*interocular_distance);
err_pp(i,:) = err_pp(i,:) ./ interocular_distance;
err_pp_dim(i,:) = err_pp_dim(i,:) ./ interocular_distance;
end
end