opencv/modules/video/src/simpleflow.hpp

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#ifndef __OPENCV_SIMPLEFLOW_H__
#define __OPENCV_SIMPLEFLOW_H__

#include <vector>

using namespace std;

#define MASK_TRUE_VALUE 255
#define UNKNOWN_FLOW_THRESH 1e9

namespace cv {

struct Flow {
  Mat u, v;

  Flow() {;}

  Flow(Mat& _u, Mat& _v)
    : u(_u), v(_v) {;}
  
  Flow(int rows, int cols) {
    u = Mat::zeros(rows, cols, CV_64F);
    v = Mat::zeros(rows, cols, CV_64F);
  }
};

inline static double dist(const Vec3b& p1, const Vec3b& p2) {
  return (p1[0] - p2[0]) * (p1[0] - p2[0]) +
         (p1[1] - p2[1]) * (p1[1] - p2[1]) +
         (p1[2] - p2[2]) * (p1[2] - p2[2]);
}

inline static double dist(const Point2f& p1, const Point2f& p2) {
  return (p1.x - p2.x) * (p1.x - p2.x) +
         (p1.y - p2.y) * (p1.y - p2.y);
}

inline static double dist(double x1, double y1, double x2, double y2) {
  return (x1 - x2) * (x1 - x2) +
         (y1 - y2) * (y1 - y2);
}

inline static int dist(int x1, int y1, int x2, int y2) {
  return (x1 - x2) * (x1 - x2) +
         (y1 - y2) * (y1 - y2);
}

template<class T>
inline static T min(T t1, T t2, T t3) {
  return (t1 <= t2 && t1 <= t3) ? t1 : min(t2, t3);
}

template<class T>
vector<vector<T> > build(int n, int m) {
  vector<vector<T> > res(n);
  for (int i = 0; i < n; ++i) {
    res[i].resize(m, 0);
  }
  return res;
}

class WeightedCrossBilateralFilter {
public:
  WeightedCrossBilateralFilter(const Mat& _image,
                       int _windowSize,
                       double _sigmaDist,
                       double _sigmaColor);

  Mat apply(Mat& matrix, Mat& weights);

private:
  double convolution(Mat& matrix, int row, int col, Mat& weights);

  Mat image;
  int windowSize;
  double sigmaDist, sigmaColor;

  vector<double> expDist;
  vector<vector<vector<vector<double> > > > wc;
};
}

#endif