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Open Source Computer Vision Library
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186 lines
7.5 KiB
186 lines
7.5 KiB
/*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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#ifndef CIRCLESGRID_HPP_ |
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#define CIRCLESGRID_HPP_ |
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#include <fstream> |
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#include <set> |
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#include "precomp.hpp" |
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class Graph |
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{ |
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public: |
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typedef std::set<size_t> Neighbors; |
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struct Vertex |
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{ |
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Neighbors neighbors; |
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}; |
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typedef std::map<size_t, Vertex> Vertices; |
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Graph(size_t n); |
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void addVertex(size_t id); |
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void addEdge(size_t id1, size_t id2); |
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void removeEdge(size_t id1, size_t id2); |
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bool doesVertexExist(size_t id) const; |
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bool areVerticesAdjacent(size_t id1, size_t id2) const; |
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size_t getVerticesCount() const; |
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size_t getDegree(size_t id) const; |
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const Neighbors& getNeighbors(size_t id) const; |
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void floydWarshall(cv::Mat &distanceMatrix, int infinity = -1) const; |
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private: |
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Vertices vertices; |
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}; |
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struct Path |
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{ |
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int firstVertex; |
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int lastVertex; |
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int length; |
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std::vector<size_t> vertices; |
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Path(int first = -1, int last = -1, int len = -1) |
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{ |
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firstVertex = first; |
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lastVertex = last; |
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length = len; |
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} |
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}; |
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struct CirclesGridFinderParameters |
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{ |
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CirclesGridFinderParameters(); |
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cv::Size2f densityNeighborhoodSize; |
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float minDensity; |
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int kmeansAttempts; |
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int minDistanceToAddKeypoint; |
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int keypointScale; |
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float minGraphConfidence; |
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float vertexGain; |
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float vertexPenalty; |
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float existingVertexGain; |
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float edgeGain; |
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float edgePenalty; |
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float convexHullFactor; |
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float minRNGEdgeSwitchDist; |
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enum GridType |
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{ |
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SYMMETRIC_GRID, ASYMMETRIC_GRID |
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}; |
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GridType gridType; |
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}; |
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class CirclesGridFinder |
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{ |
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public: |
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CirclesGridFinder(cv::Size patternSize, const std::vector<cv::Point2f> &testKeypoints, |
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const CirclesGridFinderParameters ¶meters = CirclesGridFinderParameters()); |
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bool findHoles(); |
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static cv::Mat rectifyGrid(cv::Size detectedGridSize, const std::vector<cv::Point2f>& centers, const std::vector< |
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cv::Point2f> &keypoint, std::vector<cv::Point2f> &warpedKeypoints); |
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void getHoles(std::vector<cv::Point2f> &holes) const; |
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void getAsymmetricHoles(std::vector<cv::Point2f> &holes) const; |
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cv::Size getDetectedGridSize() const; |
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void drawBasis(const std::vector<cv::Point2f> &basis, cv::Point2f origin, cv::Mat &drawImg) const; |
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void drawBasisGraphs(const std::vector<Graph> &basisGraphs, cv::Mat &drawImg, bool drawEdges = true, |
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bool drawVertices = true) const; |
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void drawHoles(const cv::Mat &srcImage, cv::Mat &drawImage) const; |
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private: |
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void computeRNG(Graph &rng, std::vector<cv::Point2f> &vectors, cv::Mat *drawImage = 0) const; |
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void rng2gridGraph(Graph &rng, std::vector<cv::Point2f> &vectors) const; |
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void eraseUsedGraph(std::vector<Graph> &basisGraphs) const; |
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void filterOutliersByDensity(const std::vector<cv::Point2f> &samples, std::vector<cv::Point2f> &filteredSamples); |
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void findBasis(const std::vector<cv::Point2f> &samples, std::vector<cv::Point2f> &basis, |
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std::vector<Graph> &basisGraphs); |
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void findMCS(const std::vector<cv::Point2f> &basis, std::vector<Graph> &basisGraphs); |
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size_t findLongestPath(std::vector<Graph> &basisGraphs, Path &bestPath); |
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float computeGraphConfidence(const std::vector<Graph> &basisGraphs, bool addRow, const std::vector<size_t> &points, |
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const std::vector<size_t> &seeds); |
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void addHolesByGraph(const std::vector<Graph> &basisGraphs, bool addRow, cv::Point2f basisVec); |
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size_t findNearestKeypoint(cv::Point2f pt) const; |
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void addPoint(cv::Point2f pt, std::vector<size_t> &points); |
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void findCandidateLine(std::vector<size_t> &line, size_t seedLineIdx, bool addRow, cv::Point2f basisVec, std::vector< |
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size_t> &seeds); |
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void findCandidateHoles(std::vector<size_t> &above, std::vector<size_t> &below, bool addRow, cv::Point2f basisVec, |
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std::vector<size_t> &aboveSeeds, std::vector<size_t> &belowSeeds); |
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static bool areCentersNew(const std::vector<size_t> &newCenters, const std::vector<std::vector<size_t> > &holes); |
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bool isDetectionCorrect(); |
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static void insertWinner(float aboveConfidence, float belowConfidence, float minConfidence, bool addRow, |
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const std::vector<size_t> &above, const std::vector<size_t> &below, std::vector<std::vector< |
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size_t> > &holes); |
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struct Segment |
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{ |
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cv::Point2f s; |
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cv::Point2f e; |
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Segment(cv::Point2f _s, cv::Point2f _e); |
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}; |
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//if endpoint is on a segment then function return false |
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static bool areSegmentsIntersecting(Segment seg1, Segment seg2); |
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static bool doesIntersectionExist(const std::vector<Segment> &corner, const std::vector<std::vector<Segment> > &segments); |
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void getCornerSegments(const std::vector<std::vector<size_t> > &points, std::vector<std::vector<Segment> > &segments, |
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std::vector<cv::Point> &cornerIndices, std::vector<cv::Point> &firstSteps, |
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std::vector<cv::Point> &secondSteps) const; |
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size_t getFirstCorner(std::vector<cv::Point> &largeCornerIndices, std::vector<cv::Point> &smallCornerIndices, |
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std::vector<cv::Point> &firstSteps, std::vector<cv::Point> &secondSteps) const; |
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static double getDirection(cv::Point2f p1, cv::Point2f p2, cv::Point2f p3); |
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std::vector<cv::Point2f> keypoints; |
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std::vector<std::vector<size_t> > holes; |
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std::vector<std::vector<size_t> > holes2; |
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std::vector<std::vector<size_t> > *largeHoles; |
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std::vector<std::vector<size_t> > *smallHoles; |
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const cv::Size_<size_t> patternSize; |
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CirclesGridFinderParameters parameters; |
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}; |
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#endif /* CIRCLESGRID_HPP_ */
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