When I train my classifier using opencv_traincascade by using local binary pattern (LBP), I get this written on console :
Number of unique features given windowSize [50,28] : 51408
How is this number calculated? I found code on GitHub, but did not manage to understand it :
void CvLBPEvaluator::generateFeatures()
{
int offset = winSize.width + 1;
for( int x = 0; x < winSize.width; x++ )
for( int y = 0; y < winSize.height; y++ )
for( int w = 1; w <= winSize.width / 3; w++ )
for( int h = 1; h <= winSize.height / 3; h++ )
if ( (x+3*w <= winSize.width) && (y+3*h <= winSize.height) )
features.push_back( Feature(offset, x, y, w, h ) );
numFeatures = (int)features.size();
}
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