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R6289/code/external/utils/detect_occlusion.m
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detect_occlusion.m
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function occ = detect_occlusion(uv, images, sigma_d, sigma_i)
% Detect occlusion regions using flow divergence and brightness constancy
% error
% the output taks continous value
% close to 0: occluded
% close to 1: nonoccluded
% according to Appendix A.2 Sand & Teller "Particle Video" IJCV 2008
% Author: Deqing Sun, Department of Computer Science, Brown University
% Contact: dqsun@cs.brown.edu
% $Date: 2009$
% $Revision $
%
% Copyright 2009-2010, Brown University, Providence, RI. USA
%
% All Rights Reserved
%
% All commercial use of this software, whether direct or indirect, is
% strictly prohibited including, without limitation, incorporation into in
% a commercial product, use in a commercial service, or production of other
% artifacts for commercial purposes.
%
% Permission to use, copy, modify, and distribute this software and its
% documentation for research purposes is hereby granted without fee,
% provided that the above copyright notice appears in all copies and that
% both that copyright notice and this permission notice appear in
% supporting documentation, and that the name of the author and Brown
% University not be used in advertising or publicity pertaining to
% distribution of the software without specific, written prior permission.
%
% For commercial uses contact the Technology Venture Office of Brown University
%
% THE AUTHOR AND BROWN UNIVERSITY DISCLAIM ALL WARRANTIES WITH REGARD TO
% THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
% FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL THE AUTHOR OR
% BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL
% DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR
% PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
% ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
% THIS SOFTWARE.
if nargin == 2
sigma_d = 0.3; % divergence
sigma_i = 20; % intensity
end;
div = divergence(uv(:,:,1), uv(:,:,2));
div(div>0) =0;
It = partial_deriv(images, uv);
occ = exp(-div.^2/2/sigma_d^2).*exp(-It.^2/2/ sigma_i^2);
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