function featureVector = makeHybridFeatureVector(img, type, columnscale, ...
	numcolumns, wholescale, scales)

% Version 0.1, Feb 2006.
% This code is copyrighted by Ashutosh Saxena, Stanford University
% It is available for non-commercial use only. For commericial use, please
% contact the authors.
% Any publication or report resulting from Use of this code, should cite:
% Learning Depth from Single Monocular Images, Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng, NIPS 2005.
% 3-D Depth Reconstruction from a Single Still Image, Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng, To appear in IJCV 2007.
% For more info and dataset, visit: http://ai.stanford.edu/~asaxena/learningdepth/
% For a better version of the algorithm, also visit: 
% http://ai.stanford.edu/~asaxena/reconstruction3d/


global nDim
global nGridCol nGridRow

numscales = length(scales);
% Fix the number of features to be a variable
featureVector = zeros(nGridRow, nGridCol, numscales*nDim);

for s=1:numscales
	scale = scales(s);
    dimensionIndex = ((s-1)*nDim + 1):(s*nDim);
	if scale == 1
		featureVector(:, :, dimensionIndex) = ...
			makeScaledFeatureTexture(img, type, scale);
	elseif scale > 1
		tmp = imresize(img, 1/(2*(scale-1)+1));
		featureVector(:, :, dimensionIndex) = ...
			makeScaledFeatureTexture(tmp, type, scale);
	elseif scale == -1
		tmp = imresize(tmp, 1/columnscale);
		featureVector(:, :, dimensionIndex) = ...
			makeColumnFeatureTexture(tmp, type, numcolumns);
	elseif scale == -2
		tmp = imresize(tmp, 1/wholescale);
		featureVector(:, :, dimensionIndex) = ...
			makeImageFeatureTexture(tmp, type);
	end
end

return;