Used for visualization of clusters of images and videos.
Organizes the matrix I, which is either MxNxR for images or MxNxTxR for
videos, into a [M x N x T x nElem x nCluster] array IC, where each
element IC(:,:,:,:,i) is the set of objects belonging to cluster i.
If not all clusters have the same size, if pad==1 blank elements are
added to pad the clusters so they do in fact have the same size, and if
pad is 0 then IC is a cell vector where IC{i} is the set of objects
belonging to cluster i.
To display only a subset of clusters, given in a vector cs, use IDXb:
IDXb = zeros(size(IDX)); for i=1:length(cs) IDXb(IDX==cs(i))=i; end;
USAGE
IC = clusterMontage( I, IDX, nElem, [pad] )
INPUTS
I - MxNxR array of images or MxNxTxR array of videos
IDX - cluster membership (Rx1 integer vector) [see kmeans2.m]
nElem - max number of instances to show of each cluster
pad - [1] pads each cluster w blanks so it has exactly nElem
OUTPUTS
IC - if pad==1 [M x N x T x nElem x nCluster] array
- if pad==0 nCluster cell of [M x N x T x nElem_i] arrays
EXAMPLE - images
load( 'images.mat' );
keep=randSample(144,80); IDXi=IDXi(keep); images=images(:,:,keep);
IC = clusterMontage( images, IDXi, 9, 0 );
figure(1); montage2( IC )
EXAMPLE - videos
load( 'images.mat' );
IC = clusterMontage( videos, IDXv, 9, 0 );
figure(1); playMovie( IC )
See also KMEANS2, MONTAGE2, PLAYMOVIE, CELL2ARRAY
Piotr's Computer Vision Matlab Toolbox Version 2.0
Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
Licensed under the Simplified BSD License [see external/bsd.txt]