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#ifndef _OPENCV_LBPFEATURES_H_
#define _OPENCV_LBPFEATURES_H_
#include "traincascade_features.h"
#define LBPF_NAME "lbpFeatureParams"
struct CvLBPFeatureParams : CvFeatureParams
{
CvLBPFeatureParams();
};
class CvLBPEvaluator : public CvFeatureEvaluator
{
public:
virtual ~CvLBPEvaluator() {}
virtual void init(const CvFeatureParams *_featureParams,
int _maxSampleCount, Size _winSize );
virtual void setImage(const Mat& img, uchar clsLabel, int idx);
virtual float operator()(int featureIdx, int sampleIdx) const
{ return (float)features[featureIdx].calc( sum, sampleIdx); }
virtual void writeFeatures( FileStorage &fs, const Mat& featureMap ) const;
protected:
virtual void generateFeatures();
class Feature
{
public:
Feature();
Feature( int offset, int x, int y, int _block_w, int _block_h );
uchar calc( const Mat& _sum, size_t y ) const;
void write( FileStorage &fs ) const;
Rect rect;
int p[16];
};
vector<Feature> features;
Mat sum;
};
inline uchar CvLBPEvaluator::Feature::calc(const Mat &_sum, size_t y) const
{
const int* sum = _sum.ptr<int>((int)y);
int cval = sum[p[5]] - sum[p[6]] - sum[p[9]] + sum[p[10]];
return (uchar)((sum[p[0]] - sum[p[1]] - sum[p[4]] + sum[p[5]] >= cval ? 128 : 0) | // 0
(sum[p[1]] - sum[p[2]] - sum[p[5]] + sum[p[6]] >= cval ? 64 : 0) | // 1
(sum[p[2]] - sum[p[3]] - sum[p[6]] + sum[p[7]] >= cval ? 32 : 0) | // 2
(sum[p[6]] - sum[p[7]] - sum[p[10]] + sum[p[11]] >= cval ? 16 : 0) | // 5
(sum[p[10]] - sum[p[11]] - sum[p[14]] + sum[p[15]] >= cval ? 8 : 0) | // 8
(sum[p[9]] - sum[p[10]] - sum[p[13]] + sum[p[14]] >= cval ? 4 : 0) | // 7
(sum[p[8]] - sum[p[9]] - sum[p[12]] + sum[p[13]] >= cval ? 2 : 0) | // 6
(sum[p[4]] - sum[p[5]] - sum[p[8]] + sum[p[9]] >= cval ? 1 : 0)); // 3
}
#endif
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