RansacFeatureSetMatcher.h

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/*****************************************************************
 *
 * This file is part of the FLIRTLib project
 *
 * FLIRTLib Copyright (c) 2010 Gian Diego Tipaldi and Kai O. Arras 
 *
 * This software is licensed under the "Creative Commons 
 * License (Attribution-NonCommercial-ShareAlike 3.0)" 
 * and is copyrighted by Gian Diego Tipaldi and Kai O. Arras 
 * 
 * Further information on this license can be found at:
 * http://creativecommons.org/licenses/by-nc-sa/3.0/
 * 
 * FLIRTLib is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied 
 * warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
 * PURPOSE.  
 *
 *****************************************************************/



#ifndef RANSACFEATURESETMATCHER_H_
#define RANSACFEATURESETMATCHER_H_

#include <feature/AbstractFeatureSetMatcher.h>
#include <utils/PoseEstimation.h>
#include <vector>
#include <utility>

class RansacFeatureSetMatcher: public AbstractFeatureSetMatcher {
    public:
        RansacFeatureSetMatcher(double acceptanceThreshold, double successProbability, double inlierProbability, double distanceThreshold, double rigidityThreshold, bool adaptive = false);
        
        virtual double matchSets(const std::vector<InterestPoint *> &reference, const std::vector<InterestPoint *> &data, OrientedPoint2D& transformation) const;
        
        virtual double matchSets(const std::vector<InterestPoint *> &reference, const std::vector<InterestPoint *> &data, OrientedPoint2D& transformation,
                                 std::vector< std::pair<InterestPoint *, InterestPoint *> > &correspondences) const;
        
        inline bool getAdaptive()
            {return m_adaptive;}
        
        inline double getSuccessProbability()
            {return m_successProbability;}
        
        inline double getInlierProbability()
            {return m_inlierProbability;}
        
        inline double getDistanceThreshold()
            {return m_distanceThreshold;}

        inline void setAdaptive(bool adaptive)
            {m_adaptive = adaptive;}
        
        inline void setSuccessProbability(double successProbability)
            {m_successProbability = successProbability;}
        
        inline void setInlierProbability(double inlierProbability)
            {m_inlierProbability = inlierProbability;}
        
        inline void setDistanceThreshold(double distanceThreshold)
            {m_distanceThreshold = distanceThreshold;}
    
    protected:
        double m_successProbability; 
        double m_inlierProbability; 
        double m_distanceThreshold; 
        double m_rigidityThreshold; 
        bool m_adaptive; 
};

#endif

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flirtlib
Author(s): Bhaskara Marthi, Gian Diego Tipaldi
autogenerated on Fri Jan 11 11:15:28 2013