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function [points,D] = perform_farthest_point_sampling_mesh( vertex,faces, points, nbr_iter, options )% perform_farthest_point_sampling - samples points using farthest seeding strategy%% [points,D] = perform_farthest_point_sampling_mesh( vertex,faces, points, nbr_iter, options );%%   points can be [] or can be a (nb.points,1) matrix of already computed %       sampling locations.%%   See also: perform_fast_marching_mesh.%   %   Copyright (c) 2007 Gabriel Peyreoptions.null = 0;if nargin<3    nb_iter = 1;end[vertex,faces] = check_face_vertex(vertex,faces);n = size(vertex,2);L1 = getoptions(options, 'constraint_map', zeros(n,1) + Inf );if nargin<2 || isempty(points)    % initialize farthest points at random    %points = round(rand(1,1)*(n-1))+1;    points = 1;    % replace by farthest point    [points,L] = perform_farthest_point_sampling_mesh( vertex,faces, points, 1, options );    points = points(end);    nbr_iter = nbr_iter-1;    L = min(zeros(n,1) + Inf, L1);else    % initial distance map    L = min(zeros(n,1) + Inf, L1);endfor i=1:nbr_iter    if nbr_iter>5        progressbar( i, nbr_iter );    end    options.nb_iter_max = Inf;    options.constraint_map = L;    D = my_eval_distance(vertex,faces, points(end), options);    D = min(D,L); % known distance map to lanmarks    L = min(D,L1); % cropp with other constraints    % remove away data    D(D==Inf) = 0;    % compute farhtest points    [tmp,I] = max(D(:));    points = [points,I(1)];end%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%function D = my_eval_distance(vertex,faces,  x, options)options.null = 0;if length(x)>1    D = zeros(n)+Inf;    for i=1:length(x)        D = min(D, my_eval_distance(vertex,faces,x(i)));    end    return;end[D,Z,Q] = perform_fast_marching_mesh(vertex, faces, x, options);

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