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function matrix = gbDistance(a, b)
% GBDISTANCE Geometric-Blur descriptor sets distance
% MATRIX = GBDISTANCE(A, B) computes a similarity matrix between
% images A and B. A and B are cells array, each element of which is
% a colllection of features (e.g. SIFT descriptors). The similarity
% between a pair of images is the average minimum distance between
% descriptors from the two images.
%
% Author:: Andrea Vedaldi
% AUTORIGHTS
% Copyright (C) 2008-09 Andrea Vedaldi
%
% This file is part of the VGG MKL Class and VGG MKL Det code packages,
% available in the terms of the GNU General Public License version 2.
matrix = zeros(length(a), length(b)) ;
tic
for na=1:length(a)
kd = vl_kdtreebuild(single(a{na}), 'thresholdmethod', 'mean') ;
for nb=1:length(b)
[result, ndists] = vl_kdtreequery(kd, single(a{na}), single(b{nb}), ...
'maxcomparisons', 50) ;
matrix(na,nb) = mean(ndists) ;
end
if any(any(isnan(matrix))), keyboard ; end
fprintf('%5.2f %%: %5.1fm remaining.\n', ...
na/(length(a)+length(b))*100, ...
toc / na * (length(a)+length(b)-na) / 60) ;
end
for nb=1:length(b)
kd = vl_kdtreebuild(single(b{nb}), 'thresholdmethod', 'mean') ;
for na=1:length(a)
[result, ndists] = vl_kdtreequery(kd, single(b{nb}), single(a{na}), ...
'maxcomparisons', 50) ;
matrix(na,nb) = matrix(na,nb) + mean(ndists) ;
end
fprintf('%5.2f %%: %5.1fm remaining.\n', ...
(nb+length(a))/(length(a)+length(b))*100, ...
toc / (nb+length(a)) * (length(a)+length(b)-na) / 60) ;
end
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