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133 lines
5.1 KiB
C++
133 lines
5.1 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include <stdlib.h>
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#include <math.h>
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#include <vector>
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namespace cv
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{
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/*
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* ShapeContextDescriptor class
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*/
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class SCD
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{
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public:
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//! the full constructor taking all the necessary parameters
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explicit SCD(int _nAngularBins=12, int _nRadialBins=5,
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double _innerRadius=0.1, double _outerRadius=1, bool _rotationInvariant=false)
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{
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setAngularBins(_nAngularBins);
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setRadialBins(_nRadialBins);
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setInnerRadius(_innerRadius);
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setOuterRadius(_outerRadius);
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setRotationInvariant(_rotationInvariant);
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}
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void extractSCD(cv::Mat& contour, cv::Mat& descriptors,
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const std::vector<int>& queryInliers=std::vector<int>(),
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const float _meanDistance=-1);
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int descriptorSize() {return nAngularBins*nRadialBins;}
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void setAngularBins(int angularBins) { nAngularBins=angularBins; }
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void setRadialBins(int radialBins) { nRadialBins=radialBins; }
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void setInnerRadius(double _innerRadius) { innerRadius=_innerRadius; }
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void setOuterRadius(double _outerRadius) { outerRadius=_outerRadius; }
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void setRotationInvariant(bool _rotationInvariant) { rotationInvariant=_rotationInvariant; }
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int getAngularBins() const { return nAngularBins; }
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int getRadialBins() const { return nRadialBins; }
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double getInnerRadius() const { return innerRadius; }
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double getOuterRadius() const { return outerRadius; }
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bool getRotationInvariant() const { return rotationInvariant; }
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float getMeanDistance() const { return meanDistance; }
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private:
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int nAngularBins;
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int nRadialBins;
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double innerRadius;
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double outerRadius;
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bool rotationInvariant;
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float meanDistance;
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protected:
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void logarithmicSpaces(std::vector<double>& vecSpaces) const;
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void angularSpaces(std::vector<double>& vecSpaces) const;
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void buildNormalizedDistanceMatrix(cv::Mat& contour,
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cv::Mat& disMatrix, const std::vector<int> &queryInliers,
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const float _meanDistance=-1);
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void buildAngleMatrix(cv::Mat& contour,
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cv::Mat& angleMatrix) const;
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};
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/*
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* Matcher
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*/
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class SCDMatcher
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{
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public:
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// the full constructor
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SCDMatcher()
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{
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}
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// the matcher function using Hungarian method
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void matchDescriptors(cv::Mat& descriptors1, cv::Mat& descriptors2, std::vector<cv::DMatch>& matches, cv::Ptr<cv::HistogramCostExtractor>& comparer,
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std::vector<int>& inliers1, std::vector<int> &inliers2);
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// matching cost
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float getMatchingCost() const {return minMatchCost;}
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private:
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float minMatchCost;
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float betaAdditional;
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protected:
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void buildCostMatrix(const cv::Mat& descriptors1, const cv::Mat& descriptors2,
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cv::Mat& costMatrix, cv::Ptr<cv::HistogramCostExtractor>& comparer) const;
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void hungarian(cv::Mat& costMatrix, std::vector<cv::DMatch>& outMatches, std::vector<int> &inliers1,
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std::vector<int> &inliers2, int sizeScd1=0, int sizeScd2=0);
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};
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}
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