Features2d.h

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
 
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in the
      documentation and/or other materials provided with the distribution.
    * Neither the name of the Universite de Sherbrooke nor the
      names of its contributors may be used to endorse or promote products
      derived from this software without specific prior written permission.
 
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
 
#ifndef FEATURES2D_H_
#define FEATURES2D_H_
 
#include "rtabmap/core/rtabmap_core_export.h" // DLL export/import defines
 
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/features2d/features2d.hpp>
#include <list>
#include <numeric>
#include "rtabmap/core/Parameters.h"
#include "rtabmap/core/SensorData.h"
 
#if CV_MAJOR_VERSION < 3
namespace cv{
class SURF;
class SIFT;
namespace gpu {
        class SURF_GPU;
        class ORB_GPU;
        class FAST_GPU;
        class GoodFeaturesToTrackDetector_GPU;
}
}
typedef cv::SIFT CV_SIFT;
typedef cv::SURF CV_SURF;
typedef cv::FastFeatureDetector CV_FAST;
typedef cv::FREAK CV_FREAK;
typedef cv::GFTTDetector CV_GFTT;
typedef cv::BriefDescriptorExtractor CV_BRIEF;
typedef cv::BRISK CV_BRISK;
typedef cv::gpu::SURF_GPU CV_SURF_GPU;
typedef cv::gpu::ORB_GPU CV_ORB_GPU;
typedef cv::gpu::FAST_GPU CV_FAST_GPU;
typedef cv::gpu::GoodFeaturesToTrackDetector_GPU CV_GFTT_GPU;
#else
namespace cv{
namespace xfeatures2d {
class FREAK;
class DAISY;
class BriefDescriptorExtractor;
#if (CV_MAJOR_VERSION == 4 && CV_MINOR_VERSION <= 3) || (CV_MAJOR_VERSION == 3 && (CV_MINOR_VERSION < 4 || (CV_MINOR_VERSION==4 && CV_SUBMINOR_VERSION<11)))
class SIFT;
#endif
class SURF;
}
namespace cuda {
class FastFeatureDetector;
class ORB;
class SURF_CUDA;
class CornersDetector;
}
}
#if (CV_MAJOR_VERSION == 4 && CV_MINOR_VERSION <= 3) || (CV_MAJOR_VERSION == 3 && (CV_MINOR_VERSION < 4 || (CV_MINOR_VERSION==4 && CV_SUBMINOR_VERSION<11)))
typedef cv::xfeatures2d::SIFT CV_SIFT;
#else
typedef cv::SIFT CV_SIFT; // SIFT is back in features2d since 4.4.0 / 3.4.11
#endif
typedef cv::xfeatures2d::SURF CV_SURF;
typedef cv::FastFeatureDetector CV_FAST;
typedef cv::xfeatures2d::FREAK CV_FREAK;
typedef cv::xfeatures2d::DAISY CV_DAISY;
typedef cv::GFTTDetector CV_GFTT;
typedef cv::xfeatures2d::BriefDescriptorExtractor CV_BRIEF;
typedef cv::BRISK CV_BRISK;
typedef cv::ORB CV_ORB;
typedef cv::cuda::SURF_CUDA CV_SURF_GPU;
typedef cv::cuda::ORB CV_ORB_GPU;
typedef cv::cuda::FastFeatureDetector CV_FAST_GPU;
typedef cv::cuda::CornersDetector CV_GFTT_GPU;
#endif
 
// CudaSift fork: https://github.com/matlabbe/CudaSift
class SiftData;
 
namespace rtabmap {
 
class ORBextractor;
class SPDetector;
 
class Stereo;
#if CV_MAJOR_VERSION < 3
class CV_ORB;
#endif
 
// Feature2D
class RTABMAP_CORE_EXPORT Feature2D {
public:
        enum Type {kFeatureUndef=-1,
                kFeatureSurf=0,
                kFeatureSift=1,
                kFeatureOrb=2,
                kFeatureFastFreak=3,
                kFeatureFastBrief=4,
                kFeatureGfttFreak=5,
                kFeatureGfttBrief=6,
                kFeatureBrisk=7,
                kFeatureGfttOrb=8,  //new 0.10.11
                kFeatureKaze=9,     //new 0.13.2
                kFeatureOrbOctree=10, //new 0.19.2
                kFeatureSuperPointTorch=11, //new 0.19.7
                kFeatureSurfFreak=12, //new 0.20.4
                kFeatureGfttDaisy=13, //new 0.20.6
                kFeatureSurfDaisy=14,  //new 0.20.6
                kFeaturePyDetector=15}; //new 0.20.8
 
        static std::string typeName(Type type)
        {
                switch(type){
                case kFeatureSurf:
                        return "SURF";
                case kFeatureSift:
                        return "SIFT";
                case kFeatureOrb:
                        return "ORB";
                case kFeatureFastFreak:
                        return "FAST+FREAK";
                case kFeatureFastBrief:
                        return "FAST+BRIEF";
                case kFeatureGfttFreak:
                        return "GFTT+Freak";
                case kFeatureGfttBrief:
                        return "GFTT+Brief";
                case kFeatureBrisk:
                        return "BRISK";
                case kFeatureGfttOrb:
                        return "GFTT+ORB";
                case kFeatureKaze:
                        return "KAZE";
                case kFeatureOrbOctree:
                        return "ORB-OCTREE";
                case kFeatureSuperPointTorch:
                        return "SUPERPOINT";
                case kFeatureSurfFreak:
                        return "SURF+Freak";
                case kFeatureGfttDaisy:
                        return "GFTT+Daisy";
                case kFeatureSurfDaisy:
                        return "SURF+Daisy";
                default:
                        return "Unknown";
                }
        }
 
        static Feature2D * create(const ParametersMap & parameters = ParametersMap());
        static Feature2D * create(Feature2D::Type type, const ParametersMap & parameters = ParametersMap()); // for convenience
 
        static void filterKeypointsByDepth(
                                std::vector<cv::KeyPoint> & keypoints,
                                const cv::Mat & depth,
                                float minDepth,
                                float maxDepth);
        static void filterKeypointsByDepth(
                        std::vector<cv::KeyPoint> & keypoints,
                        cv::Mat & descriptors,
                        const cv::Mat & depth,
                        float minDepth,
                        float maxDepth);
        static void filterKeypointsByDepth(
                        std::vector<cv::KeyPoint> & keypoints,
                        cv::Mat & descriptors,
                        std::vector<cv::Point3f> & keypoints3D,
                        float minDepth,
                        float maxDepth);
 
        static void filterKeypointsByDisparity(
                                std::vector<cv::KeyPoint> & keypoints,
                                const cv::Mat & disparity,
                                float minDisparity);
        static void filterKeypointsByDisparity(
                        std::vector<cv::KeyPoint> & keypoints,
                        cv::Mat & descriptors,
                        const cv::Mat & disparity,
                        float minDisparity);
 
        static void limitKeypoints(std::vector<cv::KeyPoint> & keypoints, int maxKeypoints, const cv::Size & imageSize = cv::Size(), bool ssc = false);
        static void limitKeypoints(std::vector<cv::KeyPoint> & keypoints, cv::Mat & descriptors, int maxKeypoints, const cv::Size & imageSize = cv::Size(), bool ssc = false);
        static void limitKeypoints(std::vector<cv::KeyPoint> & keypoints, std::vector<cv::Point3f> & keypoints3D, cv::Mat & descriptors, int maxKeypoints, const cv::Size & imageSize = cv::Size(), bool ssc = false);
        static void limitKeypoints(const std::vector<cv::KeyPoint> & keypoints, std::vector<bool> & inliers, int maxKeypoints, const cv::Size & imageSize = cv::Size(), bool ssc = false);
        static void limitKeypoints(const std::vector<cv::KeyPoint> & keypoints, std::vector<bool> & inliers, int maxKeypoints, const cv::Size & imageSize, int gridRows, int gridCols, bool ssc = false);
 
        static cv::Rect computeRoi(const cv::Mat & image, const std::string & roiRatios);
        static cv::Rect computeRoi(const cv::Mat & image, const std::vector<float> & roiRatios);
 
        int getMaxFeatures() const {return maxFeatures_;}
        bool getSSC() const {return SSC_;}
        float getMinDepth() const {return _minDepth;}
        float getMaxDepth() const {return _maxDepth;}
        int getGridRows() const {return gridRows_;}
        int getGridCols() const {return gridCols_;}
 
public:
        virtual ~Feature2D();
 
        std::vector<cv::KeyPoint> generateKeypoints(
                        const cv::Mat & image,
                        const cv::Mat & mask = cv::Mat());
        cv::Mat generateDescriptors(
                        const cv::Mat & image,
                        std::vector<cv::KeyPoint> & keypoints) const;
        std::vector<cv::Point3f> generateKeypoints3D(
                        const SensorData & data,
                        const std::vector<cv::KeyPoint> & keypoints) const;
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual const ParametersMap & getParameters() const {return parameters_;}
        virtual Feature2D::Type getType() const = 0;
 
protected:
        Feature2D(const ParametersMap & parameters = ParametersMap());
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat()) = 0;
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const = 0;
 
private:
        ParametersMap parameters_;
        int maxFeatures_;
        bool SSC_;
        float _maxDepth; // 0=inf
        float _minDepth;
        std::vector<float> _roiRatios; // size 4
        int _subPixWinSize;
        int _subPixIterations;
        double _subPixEps;
        int gridRows_;
        int gridCols_;
        // Stereo stuff
        Stereo * _stereo;
};
 
//SURF
class RTABMAP_CORE_EXPORT SURF : public Feature2D
{
public:
        SURF(const ParametersMap & parameters = ParametersMap());
        virtual ~SURF();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureSurf;}
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        double hessianThreshold_;
        int nOctaves_;
        int nOctaveLayers_;
        bool extended_;
        bool upright_;
        float gpuKeypointsRatio_;
        bool gpuVersion_;
 
        cv::Ptr<CV_SURF> _surf;
        cv::Ptr<CV_SURF_GPU> _gpuSurf;
};
 
//SIFT
class RTABMAP_CORE_EXPORT SIFT : public Feature2D
{
public:
        SIFT(const ParametersMap & parameters = ParametersMap());
        virtual ~SIFT();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureSift;}
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        int nOctaveLayers_;
        double contrastThreshold_;
        double edgeThreshold_;
        double sigma_;
        bool preciseUpscale_;
        bool rootSIFT_;
        bool gpu_;
        float guaussianThreshold_;
        bool upscale_;
 
        cv::Ptr<CV_SIFT> sift_;
        SiftData * cudaSiftData_;
        float * cudaSiftMemory_;
        cv::Size cudaSiftMemorySize_;
        cv::Mat cudaSiftDescriptors_;
        bool cudaSiftUpscaling_;
};
 
//ORB
class RTABMAP_CORE_EXPORT ORB : public Feature2D
{
public:
        ORB(const ParametersMap & parameters = ParametersMap());
        virtual ~ORB();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureOrb;}
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        float scaleFactor_;
        int nLevels_;
        int edgeThreshold_;
        int firstLevel_;
        int WTA_K_;
        int scoreType_;
        int patchSize_;
        bool gpu_;
 
        int fastThreshold_;
        bool nonmaxSuppresion_;
 
        cv::Ptr<CV_ORB> _orb;
        cv::Ptr<CV_ORB_GPU> _gpuOrb;
};
 
//FAST
class RTABMAP_CORE_EXPORT FAST : public Feature2D
{
public:
        FAST(const ParametersMap & parameters = ParametersMap());
        virtual ~FAST();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureUndef;}
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat &, std::vector<cv::KeyPoint> &) const {return cv::Mat();}
 
private:
        int threshold_;
        bool nonmaxSuppression_;
        bool gpu_;
        double gpuKeypointsRatio_;
        int minThreshold_;
        int maxThreshold_;
        int gridRows_;
        int gridCols_;
        int fastCV_;
 
        bool fastCVinit_;
        int fastCVMaxFeatures_;
        int fastCVLastImageHeight_;
        uint32_t* fastCVCorners_= NULL;
        uint32_t* fastCVCornerScores_ = NULL;
        void* fastCVTempBuf_ = NULL;
 
        cv::Ptr<cv::FeatureDetector> _fast;
        cv::Ptr<CV_FAST_GPU> _gpuFast;
};
 
//FAST_BRIEF
class RTABMAP_CORE_EXPORT FAST_BRIEF : public FAST
{
public:
        FAST_BRIEF(const ParametersMap & parameters = ParametersMap());
        virtual ~FAST_BRIEF();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureFastBrief;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        int bytes_;
 
        cv::Ptr<CV_BRIEF> _brief;
};
 
//FAST_FREAK
class RTABMAP_CORE_EXPORT FAST_FREAK : public FAST
{
public:
        FAST_FREAK(const ParametersMap & parameters = ParametersMap());
        virtual ~FAST_FREAK();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureFastFreak;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        bool orientationNormalized_;
        bool scaleNormalized_;
        float patternScale_;
        int nOctaves_;
 
        cv::Ptr<CV_FREAK> _freak;
};
 
//GFTT
class RTABMAP_CORE_EXPORT GFTT : public Feature2D
{
public:
        GFTT(const ParametersMap & parameters = ParametersMap());
        virtual ~GFTT();
 
        virtual void parseParameters(const ParametersMap & parameters);
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
 
private:
        double _qualityLevel;
        double _minDistance;
        int _blockSize;
        bool _useHarrisDetector;
        double _k;
        bool _gpu;
 
        cv::Ptr<CV_GFTT> _gftt;
        cv::Ptr<CV_GFTT_GPU> _gpuGftt;
};
 
//GFTT_BRIEF
class RTABMAP_CORE_EXPORT GFTT_BRIEF : public GFTT
{
public:
        GFTT_BRIEF(const ParametersMap & parameters = ParametersMap());
        virtual ~GFTT_BRIEF();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureGfttBrief;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        int bytes_;
 
        cv::Ptr<CV_BRIEF> _brief;
};
 
//GFTT_FREAK
class RTABMAP_CORE_EXPORT GFTT_FREAK : public GFTT
{
public:
        GFTT_FREAK(const ParametersMap & parameters = ParametersMap());
        virtual ~GFTT_FREAK();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureGfttFreak;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        bool orientationNormalized_;
        bool scaleNormalized_;
        float patternScale_;
        int nOctaves_;
 
        cv::Ptr<CV_FREAK> _freak;
};
 
//SURF_FREAK
class RTABMAP_CORE_EXPORT SURF_FREAK : public SURF
{
public:
        SURF_FREAK(const ParametersMap & parameters = ParametersMap());
        virtual ~SURF_FREAK();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureSurfFreak;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        bool orientationNormalized_;
        bool scaleNormalized_;
        float patternScale_;
        int nOctaves_;
 
        cv::Ptr<CV_FREAK> _freak;
};
 
//GFTT_ORB
class RTABMAP_CORE_EXPORT GFTT_ORB : public GFTT
{
public:
        GFTT_ORB(const ParametersMap & parameters = ParametersMap());
        virtual ~GFTT_ORB();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureGfttOrb;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        ORB _orb;
};
 
//BRISK
class RTABMAP_CORE_EXPORT BRISK : public Feature2D
{
public:
        BRISK(const ParametersMap & parameters = ParametersMap());
        virtual ~BRISK();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureBrisk;}
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        int thresh_;
        int octaves_;
        float patternScale_;
 
        cv::Ptr<CV_BRISK> brisk_;
};
 
//KAZE
class RTABMAP_CORE_EXPORT KAZE : public Feature2D
{
public:
        KAZE(const ParametersMap & parameters = ParametersMap());
        virtual ~KAZE();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const { return kFeatureKaze; }
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        bool extended_;
        bool upright_;
        float threshold_;
        int nOctaves_;
        int nOctaveLayers_;
        int diffusivity_;
 
#if CV_MAJOR_VERSION > 2
        cv::Ptr<cv::KAZE> kaze_;
#endif
};
 
//ORB OCTREE
class RTABMAP_CORE_EXPORT ORBOctree : public Feature2D
{
public:
        ORBOctree(const ParametersMap & parameters = ParametersMap());
        virtual ~ORBOctree();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureOrbOctree;}
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        float scaleFactor_;
        int nLevels_;
        int patchSize_;
        int edgeThreshold_;
        int fastThreshold_;
        int fastMinThreshold_;
 
        cv::Ptr<ORBextractor> _orb;
        cv::Mat descriptors_;
};
 
//SuperPointTorch
class RTABMAP_CORE_EXPORT SuperPointTorch : public Feature2D
{
public:
        SuperPointTorch(const ParametersMap & parameters = ParametersMap());
        virtual ~SuperPointTorch();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const { return kFeatureSuperPointTorch; }
 
private:
        virtual std::vector<cv::KeyPoint> generateKeypointsImpl(const cv::Mat & image, const cv::Rect & roi, const cv::Mat & mask = cv::Mat());
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
        cv::Ptr<SPDetector> superPoint_;
 
        std::string path_;
        float threshold_;
        bool nms_;
        int minDistance_;
        bool cuda_;
};
 
//GFTT_DAISY
class RTABMAP_CORE_EXPORT GFTT_DAISY : public GFTT
{
public:
        GFTT_DAISY(const ParametersMap & parameters = ParametersMap());
        virtual ~GFTT_DAISY();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureGfttDaisy;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        bool orientationNormalized_;
        bool scaleNormalized_;
        float patternScale_;
        int nOctaves_;
 
#if CV_MAJOR_VERSION > 2
        cv::Ptr<CV_DAISY> _daisy;
#endif
};
 
//SURF_DAISY
class RTABMAP_CORE_EXPORT SURF_DAISY : public SURF
{
public:
        SURF_DAISY(const ParametersMap & parameters = ParametersMap());
        virtual ~SURF_DAISY();
 
        virtual void parseParameters(const ParametersMap & parameters);
        virtual Feature2D::Type getType() const {return kFeatureSurfDaisy;}
 
private:
        virtual cv::Mat generateDescriptorsImpl(const cv::Mat & image, std::vector<cv::KeyPoint> & keypoints) const;
 
private:
        bool orientationNormalized_;
        bool scaleNormalized_;
        float patternScale_;
        int nOctaves_;
 
#if CV_MAJOR_VERSION > 2
        cv::Ptr<CV_DAISY> _daisy;
#endif
};
 
}
 
#endif /* FEATURES2D_H_ */