Affine optic flow
26 Mar 2010
09 Dec 2011)
Estimates the parameters of an affine (first-order) optic flow model from two images.
|logsampback(logarr, rmin, rmax)
function arr = logsampback(logarr, rmin, rmax)
% LOGSAMPBACK Compute reverse of log-polar transform of image
% ARRAY = LOGSAMPBACK(LOGARRAY, RMIN, RMAX) takes an array of samples
% on a logarithmic grid and resamples to a conventional grid.
% LOGARRAY is an NW x NR log-sampled array, as returned by LOGSAMPLE.
% The value for ring R, wedge W is stored at LOGARRAY(W+1,R+1).
% RMIN and RMAX are the radii of the innermost and outermost rings of
% the log-polar sampling pattern, in terms of pixels in the original
% image. One of these may be the empty array; in this case it will be
% calculated assuming that the "circular samples" condition (see below)
% is satisfied.
% ARR returns a conventional image centred on the log-sampled image.
% The default of bilinear interpolation is used.
% The log-polar formulae
% For reference, the formulae relating positions in the new image to
% positions in the log-polar array are as follows. R and W are ring and
% wedge numbers in the log-polar array and X and Y are column and row
% numbers in the original array, all treated as if they could take
% non-integer values. For a sample at (X, Y):
% Radius of sample: P = RMIN * exp( R / K )
% where K = (NR - 1) / log( RMAX / RMIN )
% Angle of sample: T = W * 2 * PI / NW
% Column number: X = P * cos(T) + XC
% Row number: Y = P * sin(T) + YC
% where XC = YC = ceil(RMAX)+1.
% The "circular samples" condition is
% RMAX = RMIN * exp( 2*pi*(NR-1)/NW )
% If this is satisfied, the spatial separation of neighbouring pixels in
% the log-polar array is approximately the same along the wedges and round
% the rings.
% See also LOGSAMPLE, LOGTFORM
% Copyright David Young 2010
[nw, nr, ~] = size(logarr);
t = fliptform(logtform(rmin, rmax, nr, nw));
xc = ceil(t.tdata.rmax) + 1;
X = 2*xc-1;
Xdata = [1, X] - xc;
Udata = [0, nr-1];
logarr = padarray(logarr, [1 0], 'circular'); %wraps round in theta
Vdata = [-1, nw]; % [0 nw-1] before padding
Size = [X, X];
arr = imtransform(logarr, t, ...
'Udata', Udata, 'Vdata', Vdata, ...
'Xdata', Xdata, 'Ydata', Xdata, 'Size', Size);