Documentation>vl_demo_kdtree

# Source code for ``vl_demo_kdtree.m

This file is located in the ``toolbox/demo folder in VLFeat package.

    function vl_demo_kdtree
    % VL_DEMO_KDTREE
    %   Demonstrates the construction of a kd-tree for uniformly
    %   distributed 2-D data and data distributed on a circle. Both the
    %   median and mean threshold selection methods are illustrated.

      randn('state',0) ;
      rand('state',0) ;

      % uniform 2D points
      Q = single(rand(2,1)) ;
      X = single(rand(2, 100)) ;

      % kd-tree with median and mean thresholds
      figure(1) ; clf ; do('thresholdmethod', 'mean') ;
      figure(2) ; clf ; do('thresholdmethod', 'median') ;

      % 2D points on a circle
      thr = 2*pi*rand(1,100) ;
      X = single(.4*[cos(thr); sin(thr)] + .5) ;
      Q = single(Q) ;

      % kd-tree with median and mean thresholds
      figure(3) ; clf ; do('thresholdmethod', 'mean') ;
      figure(4) ; clf ; do('thresholdmethod', 'median') ;

      vl_demo_print(1, 'kdtree_uniform_mean') ;
      vl_demo_print(2, 'kdtree_uniform_median') ;
      vl_demo_print(3, 'kdtree_circle_mean') ;
      vl_demo_print(4, 'kdtree_circle_median') ;

      function do(varargin)
        % build the forest
        kdforest = vl_kdtreebuild (X, 'verbose', varargin{:}) ;

        % query the kd-tree
        [i, d] = vl_kdtreequery (kdforest, X, Q, 'numneighbors', 10, 'verbose') ;
        vl_plotframe(X, 'ro') ;
        hold on ;
        xl = [0, +1] ;
        yl = [0, +1] ;
        axis equal ;
        xlim(xl) ;
        ylim(yl) ;
        vl_demo_kdtree_plot(kdforest.trees(1), 1, xl, yl) ;

        % plot query point and returns
        vl_plotframe(Q,'b*') ;
        for k=1:length(i)
          vl_plotframe([Q ; sqrt(d(k))],'b:','linewidth',1) ;
          vl_plotframe(X(:, i(k)), 'bx') ;
        end
        set(gca,'xtick',[],'ytick',[]) ;
      end

    end