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function [features]=binaryFeatures(featureVectors)
// Object for storing Feature Vectors
//
// Calling Sequence
// features = binaryFeatures(featureVector);
//
// Parameters
// featureVector: M-by-N matrix consisting of M features stored in N uint8 containers
// features: Binary Feature object for the extracted Features
//
// Description
// This object provides the ability to pass data between extractFeatures and matchFeatures function
//
// Examples
// image_1 = imread('sample1.jpg');
// points_1 = detectFASTFeatures(image_1);
// [ f1 vpts_1 ] = extractFeatures(image_1, points_1);
// features1 = binaryFeatures(f1);
//
// Authors
// Umang Agrawal
// Sridhar Reddy
[lhs rhs]=argn(0);
if lhs>1
error(msprintf(" Too many output arguments"));
elseif rhs>1
error(msprintf(" Too many input arguments"));
elseif inttype(featureVectors) <> 11 then
error(msprintf("wrong argument #%d: FeatureVectors must be uint8",1));
end
[rows cols]=size(featureVectors);
features=struct('Type','binaryFeatures','Features',featureVectors,'NumBits',cols*8,'NumFeatures',rows);
endfunction
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