/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's 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. // // * The name of the copyright holders may not 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 Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (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. // //M*/ #ifndef __OPENCV_SHAPE_SHAPE_DISTANCE_HPP__ #define __OPENCV_SHAPE_SHAPE_DISTANCE_HPP__ #include "opencv2/core.hpp" #include "opencv2/shape/hist_cost.hpp" #include "opencv2/shape/shape_transformer.hpp" namespace cv { /*! * The base class for ShapeDistanceExtractor. * This is just to define the common interface for * shape comparisson techniques. */ class CV_EXPORTS_W ShapeDistanceExtractor : public Algorithm { public: CV_WRAP virtual float computeDistance(InputArray contour1, InputArray contour2) = 0; }; /***********************************************************************************/ /***********************************************************************************/ /***********************************************************************************/ /*! * Shape Context implementation. * The SCD class implements SCD algorithm proposed by Belongie et al.in * "Shape Matching and Object Recognition Using Shape Contexts". * Implemented by Juan M. Perez for the GSOC 2013. */ class CV_EXPORTS_W ShapeContextDistanceExtractor : public ShapeDistanceExtractor { public: CV_WRAP virtual void setAngularBins(int nAngularBins) = 0; CV_WRAP virtual int getAngularBins() const = 0; CV_WRAP virtual void setRadialBins(int nRadialBins) = 0; CV_WRAP virtual int getRadialBins() const = 0; CV_WRAP virtual void setInnerRadius(float innerRadius) = 0; CV_WRAP virtual float getInnerRadius() const = 0; CV_WRAP virtual void setOuterRadius(float outerRadius) = 0; CV_WRAP virtual float getOuterRadius() const = 0; CV_WRAP virtual void setRotationInvariant(bool rotationInvariant) = 0; CV_WRAP virtual bool getRotationInvariant() const = 0; CV_WRAP virtual void setShapeContextWeight(float shapeContextWeight) = 0; CV_WRAP virtual float getShapeContextWeight() const = 0; CV_WRAP virtual void setImageAppearanceWeight(float imageAppearanceWeight) = 0; CV_WRAP virtual float getImageAppearanceWeight() const = 0; CV_WRAP virtual void setBendingEnergyWeight(float bendingEnergyWeight) = 0; CV_WRAP virtual float getBendingEnergyWeight() const = 0; CV_WRAP virtual void setImages(InputArray image1, InputArray image2) = 0; CV_WRAP virtual void getImages(OutputArray image1, OutputArray image2) const = 0; CV_WRAP virtual void setIterations(int iterations) = 0; CV_WRAP virtual int getIterations() const = 0; CV_WRAP virtual void setCostExtractor(Ptr comparer) = 0; CV_WRAP virtual Ptr getCostExtractor() const = 0; CV_WRAP virtual void setStdDev(float sigma) = 0; CV_WRAP virtual float getStdDev() const = 0; CV_WRAP virtual void setTransformAlgorithm(Ptr transformer) = 0; CV_WRAP virtual Ptr getTransformAlgorithm() const = 0; }; /* Complete constructor */ CV_EXPORTS_W Ptr createShapeContextDistanceExtractor(int nAngularBins=12, int nRadialBins=4, float innerRadius=0.2, float outerRadius=2, int iterations=3, const Ptr &comparer = createChiHistogramCostExtractor(), const Ptr &transformer = createThinPlateSplineShapeTransformer()); /***********************************************************************************/ /***********************************************************************************/ /***********************************************************************************/ /*! * Hausdorff distace implementation based on */ class CV_EXPORTS_W HausdorffDistanceExtractor : public ShapeDistanceExtractor { public: CV_WRAP virtual void setDistanceFlag(int distanceFlag) = 0; CV_WRAP virtual int getDistanceFlag() const = 0; CV_WRAP virtual void setRankProportion(float rankProportion) = 0; CV_WRAP virtual float getRankProportion() const = 0; }; /* Constructor */ CV_EXPORTS_W Ptr createHausdorffDistanceExtractor(int distanceFlag=cv::NORM_L2, float rankProp=0.6); } // cv #endif