/*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. // 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 CIRCLESGRID_HPP_ #define CIRCLESGRID_HPP_ #include #include #include "precomp.hpp" class Graph { public: typedef std::set Neighbors; struct Vertex { Neighbors neighbors; }; typedef std::map Vertices; Graph( int n); bool doesVertexExist( int id ) const; void addVertex( int id ); void addEdge( int id1, int id2 ); bool areVerticesAdjacent( int id1, int id2 ) const; size_t getVerticesCount() const; size_t getDegree( int id ) const; void floydWarshall(cv::Mat &distanceMatrix, int infinity = -1) const; private: Vertices vertices; }; struct Path { int firstVertex; int lastVertex; int length; std::vector vertices; Path(int first = -1, int last = -1, int len = -1) { firstVertex = first; lastVertex = last; length = len; } }; struct CirclesGridFinderParameters { CirclesGridFinderParameters(); cv::Size2f densityNeighborhoodSize; float minDensity; int kmeansAttempts; int minDistanceToAddKeypoint; int keypointScale; float minGraphConfidence; float vertexGain; float vertexPenalty; float existingVertexGain; float edgeGain; float edgePenalty; float convexHullFactor; }; class CirclesGridFinder { public: CirclesGridFinder(cv::Size patternSize, const std::vector &testKeypoints, const CirclesGridFinderParameters ¶meters = CirclesGridFinderParameters()); bool findHoles(); static cv::Mat rectifyGrid(cv::Size detectedGridSize, const std::vector& centers, const std::vector &keypoint, std::vector &warpedKeypoints); void getHoles(std::vector &holes) const; cv::Size getDetectedGridSize() const; void drawBasis(const std::vector &basis, cv::Point2f origin, cv::Mat &drawImg) const; void drawBasisGraphs(const std::vector &basisGraphs, cv::Mat &drawImg, bool drawEdges = true, bool drawVertices = true) const; void drawHoles(const cv::Mat &srcImage, cv::Mat &drawImage) const; private: void computeEdgeVectorsOfRNG(std::vector &vectors, cv::Mat *drawImage = 0) const; void filterOutliersByDensity(const std::vector &samples, std::vector &filteredSamples); void findBasis(const std::vector &samples, std::vector &basis, std::vector &basisGraphs); void findMCS(const std::vector &basis, std::vector &basisGraphs); size_t findLongestPath(std::vector &basisGraphs, Path &bestPath); float computeGraphConfidence(const std::vector &basisGraphs, bool addRow, const std::vector &points, const std::vector< int> &seeds); void addHolesByGraph(const std::vector &basisGraphs, bool addRow, cv::Point2f basisVec); int findNearestKeypoint(cv::Point2f pt) const; void addPoint(cv::Point2f pt, std::vector &points); void findCandidateLine(std::vector &line, int seedLineIdx, bool addRow, cv::Point2f basisVec, std::vector &seeds); void findCandidateHoles(std::vector &above, std::vector &below, bool addRow, cv::Point2f basisVec, std::vector &aboveSeeds, std::vector &belowSeeds); static bool areCentersNew( const std::vector &newCenters, const std::vector > &holes ); bool isDetectionCorrect(); static void insertWinner(float aboveConfidence, float belowConfidence, float minConfidence, bool addRow, const std::vector &above, const std::vector &below, std::vector > &holes); static bool areVerticesAdjacent(const Graph &graph, int vertex1, int vertex2); std::vector keypoints; std::vector > holes; const cv::Size patternSize; CirclesGridFinderParameters parameters; }; #endif /* CIRCLESGRID_HPP_ */