linear_correlation

PURPOSE ^

LINEAR_CORRELATION Linear Kernel at all shifts, i.e. correlation.

SYNOPSIS ^

function kf = linear_correlation(xf, yf)

DESCRIPTION ^

LINEAR_CORRELATION Linear Kernel at all shifts, i.e. correlation.
   Computes the dot-product for all relative shifts between input images
   X and Y, which must both be MxN. They must also be periodic (ie.,
   pre-processed with a cosine window). The result is an MxN map of
   responses.

   Inputs and output are all in the Fourier domain.
   This function has been inserted in the DS-KCF matlab library from the
   KCF library released by

   See also MAXRESPONSEDSKCF, MAXRESPONSEDEPTHWEIGHTDSKCF,
   MODELUPDATEDSKCF, GAUSSIAN_CORRELATION, POLYNOMIAL_CORRELATION,

   Joao F. Henriques, 2014
   http://www.isr.uc.pt/~henriques/

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function kf = linear_correlation(xf, yf)
0002 %LINEAR_CORRELATION Linear Kernel at all shifts, i.e. correlation.
0003 %   Computes the dot-product for all relative shifts between input images
0004 %   X and Y, which must both be MxN. They must also be periodic (ie.,
0005 %   pre-processed with a cosine window). The result is an MxN map of
0006 %   responses.
0007 %
0008 %   Inputs and output are all in the Fourier domain.
0009 %   This function has been inserted in the DS-KCF matlab library from the
0010 %   KCF library released by
0011 %
0012 %   See also MAXRESPONSEDSKCF, MAXRESPONSEDEPTHWEIGHTDSKCF,
0013 %   MODELUPDATEDSKCF, GAUSSIAN_CORRELATION, POLYNOMIAL_CORRELATION,
0014 %
0015 %   Joao F. Henriques, 2014
0016 %   http://www.isr.uc.pt/~henriques/
0017     
0018     %cross-correlation term in Fourier domain
0019     kf = sum(xf .* conj(yf), 3) / numel(xf);
0020     
0021 end
0022

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