ORBextractor.h

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#ifndef ORBEXTRACTOR_H
#define ORBEXTRACTOR_H

#include <vector>
#include <list>
#include <opencv2/opencv.hpp>


namespace ORB_SLAM2
{

class ExtractorNode
{
public:
    ExtractorNode():bNoMore(false){}

    void DivideNode(ExtractorNode &n1, ExtractorNode &n2, ExtractorNode &n3, ExtractorNode &n4);

    std::vector<cv::KeyPoint> vKeys;
    cv::Point2i UL, UR, BL, BR;
    std::list<ExtractorNode>::iterator lit;
    bool bNoMore;
};

class ORBextractor
{
public:
    
    enum {HARRIS_SCORE=0, FAST_SCORE=1 };

    ORBextractor(int nfeatures, float scaleFactor, int nlevels,
                 int iniThFAST, int minThFAST);

    ~ORBextractor(){}

    // Compute the ORB features and descriptors on an image.
    // ORB are dispersed on the image using an octree.
    // Mask is ignored in the current implementation.
    void operator()( cv::InputArray image, cv::InputArray mask,
      std::vector<cv::KeyPoint>& keypoints,
      cv::OutputArray descriptors);

    int inline GetLevels(){
        return nlevels;}

    float inline GetScaleFactor(){
        return scaleFactor;}

    std::vector<float> inline GetScaleFactors(){
        return mvScaleFactor;
    }

    std::vector<float> inline GetInverseScaleFactors(){
        return mvInvScaleFactor;
    }

    std::vector<float> inline GetScaleSigmaSquares(){
        return mvLevelSigma2;
    }

    std::vector<float> inline GetInverseScaleSigmaSquares(){
        return mvInvLevelSigma2;
    }

    std::vector<cv::Mat> mvImagePyramid;

protected:

    void ComputePyramid(cv::Mat image);
    void ComputeKeyPointsOctTree(std::vector<std::vector<cv::KeyPoint> >& allKeypoints);    
    std::vector<cv::KeyPoint> DistributeOctTree(const std::vector<cv::KeyPoint>& vToDistributeKeys, const int &minX,
                                           const int &maxX, const int &minY, const int &maxY, const int &nFeatures, const int &level);

    void ComputeKeyPointsOld(std::vector<std::vector<cv::KeyPoint> >& allKeypoints);
    std::vector<cv::Point> pattern;

    int nfeatures;
    double scaleFactor;
    int nlevels;
    int iniThFAST;
    int minThFAST;

    std::vector<int> mnFeaturesPerLevel;

    std::vector<int> umax;

    std::vector<float> mvScaleFactor;
    std::vector<float> mvInvScaleFactor;    
    std::vector<float> mvLevelSigma2;
    std::vector<float> mvInvLevelSigma2;
};

} //namespace ORB_SLAM

#endif