| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285 | 
							- /*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 OPENCV_STITCHING_SEAM_FINDERS_HPP
 
- #define OPENCV_STITCHING_SEAM_FINDERS_HPP
 
- #include <set>
 
- #include "opencv2/core.hpp"
 
- #include "opencv2/opencv_modules.hpp"
 
- namespace cv {
 
- namespace detail {
 
- //! @addtogroup stitching_seam
 
- //! @{
 
- /** @brief Base class for a seam estimator.
 
-  */
 
- class CV_EXPORTS SeamFinder
 
- {
 
- public:
 
-     virtual ~SeamFinder() {}
 
-     /** @brief Estimates seams.
 
-     @param src Source images
 
-     @param corners Source image top-left corners
 
-     @param masks Source image masks to update
 
-      */
 
-     virtual void find(const std::vector<UMat> &src, const std::vector<Point> &corners,
 
-                       std::vector<UMat> &masks) = 0;
 
- };
 
- /** @brief Stub seam estimator which does nothing.
 
-  */
 
- class CV_EXPORTS NoSeamFinder : public SeamFinder
 
- {
 
- public:
 
-     void find(const std::vector<UMat>&, const std::vector<Point>&, std::vector<UMat>&) {}
 
- };
 
- /** @brief Base class for all pairwise seam estimators.
 
-  */
 
- class CV_EXPORTS PairwiseSeamFinder : public SeamFinder
 
- {
 
- public:
 
-     virtual void find(const std::vector<UMat> &src, const std::vector<Point> &corners,
 
-                       std::vector<UMat> &masks);
 
- protected:
 
-     void run();
 
-     /** @brief Resolves masks intersection of two specified images in the given ROI.
 
-     @param first First image index
 
-     @param second Second image index
 
-     @param roi Region of interest
 
-      */
 
-     virtual void findInPair(size_t first, size_t second, Rect roi) = 0;
 
-     std::vector<UMat> images_;
 
-     std::vector<Size> sizes_;
 
-     std::vector<Point> corners_;
 
-     std::vector<UMat> masks_;
 
- };
 
- /** @brief Voronoi diagram-based seam estimator.
 
-  */
 
- class CV_EXPORTS VoronoiSeamFinder : public PairwiseSeamFinder
 
- {
 
- public:
 
-     virtual void find(const std::vector<UMat> &src, const std::vector<Point> &corners,
 
-                       std::vector<UMat> &masks);
 
-     virtual void find(const std::vector<Size> &size, const std::vector<Point> &corners,
 
-                       std::vector<UMat> &masks);
 
- private:
 
-     void findInPair(size_t first, size_t second, Rect roi);
 
- };
 
- class CV_EXPORTS DpSeamFinder : public SeamFinder
 
- {
 
- public:
 
-     enum CostFunction { COLOR, COLOR_GRAD };
 
-     DpSeamFinder(CostFunction costFunc = COLOR);
 
-     CostFunction costFunction() const { return costFunc_; }
 
-     void setCostFunction(CostFunction val) { costFunc_ = val; }
 
-     virtual void find(const std::vector<UMat> &src, const std::vector<Point> &corners,
 
-                       std::vector<UMat> &masks);
 
- private:
 
-     enum ComponentState
 
-     {
 
-         FIRST = 1, SECOND = 2, INTERS = 4,
 
-         INTERS_FIRST = INTERS | FIRST,
 
-         INTERS_SECOND = INTERS | SECOND
 
-     };
 
-     class ImagePairLess
 
-     {
 
-     public:
 
-         ImagePairLess(const std::vector<Mat> &images, const std::vector<Point> &corners)
 
-             : src_(&images[0]), corners_(&corners[0]) {}
 
-         bool operator() (const std::pair<size_t, size_t> &l, const std::pair<size_t, size_t> &r) const
 
-         {
 
-             Point c1 = corners_[l.first] + Point(src_[l.first].cols / 2, src_[l.first].rows / 2);
 
-             Point c2 = corners_[l.second] + Point(src_[l.second].cols / 2, src_[l.second].rows / 2);
 
-             int d1 = (c1 - c2).dot(c1 - c2);
 
-             c1 = corners_[r.first] + Point(src_[r.first].cols / 2, src_[r.first].rows / 2);
 
-             c2 = corners_[r.second] + Point(src_[r.second].cols / 2, src_[r.second].rows / 2);
 
-             int d2 = (c1 - c2).dot(c1 - c2);
 
-             return d1 < d2;
 
-         }
 
-     private:
 
-         const Mat *src_;
 
-         const Point *corners_;
 
-     };
 
-     class ClosePoints
 
-     {
 
-     public:
 
-         ClosePoints(int minDist) : minDist_(minDist) {}
 
-         bool operator() (const Point &p1, const Point &p2) const
 
-         {
 
-             int dist2 = (p1.x-p2.x) * (p1.x-p2.x) + (p1.y-p2.y) * (p1.y-p2.y);
 
-             return dist2 < minDist_ * minDist_;
 
-         }
 
-     private:
 
-         int minDist_;
 
-     };
 
-     void process(
 
-             const Mat &image1, const Mat &image2, Point tl1, Point tl2,  Mat &mask1, Mat &mask2);
 
-     void findComponents();
 
-     void findEdges();
 
-     void resolveConflicts(
 
-             const Mat &image1, const Mat &image2, Point tl1, Point tl2, Mat &mask1, Mat &mask2);
 
-     void computeGradients(const Mat &image1, const Mat &image2);
 
-     bool hasOnlyOneNeighbor(int comp);
 
-     bool closeToContour(int y, int x, const Mat_<uchar> &contourMask);
 
-     bool getSeamTips(int comp1, int comp2, Point &p1, Point &p2);
 
-     void computeCosts(
 
-             const Mat &image1, const Mat &image2, Point tl1, Point tl2,
 
-             int comp, Mat_<float> &costV, Mat_<float> &costH);
 
-     bool estimateSeam(
 
-             const Mat &image1, const Mat &image2, Point tl1, Point tl2, int comp,
 
-             Point p1, Point p2, std::vector<Point> &seam, bool &isHorizontal);
 
-     void updateLabelsUsingSeam(
 
-             int comp1, int comp2, const std::vector<Point> &seam, bool isHorizontalSeam);
 
-     CostFunction costFunc_;
 
-     // processing images pair data
 
-     Point unionTl_, unionBr_;
 
-     Size unionSize_;
 
-     Mat_<uchar> mask1_, mask2_;
 
-     Mat_<uchar> contour1mask_, contour2mask_;
 
-     Mat_<float> gradx1_, grady1_;
 
-     Mat_<float> gradx2_, grady2_;
 
-     // components data
 
-     int ncomps_;
 
-     Mat_<int> labels_;
 
-     std::vector<ComponentState> states_;
 
-     std::vector<Point> tls_, brs_;
 
-     std::vector<std::vector<Point> > contours_;
 
-     std::set<std::pair<int, int> > edges_;
 
- };
 
- /** @brief Base class for all minimum graph-cut-based seam estimators.
 
-  */
 
- class CV_EXPORTS GraphCutSeamFinderBase
 
- {
 
- public:
 
-     enum CostType { COST_COLOR, COST_COLOR_GRAD };
 
- };
 
- /** @brief Minimum graph cut-based seam estimator. See details in @cite V03 .
 
-  */
 
- class CV_EXPORTS GraphCutSeamFinder : public GraphCutSeamFinderBase, public SeamFinder
 
- {
 
- public:
 
-     GraphCutSeamFinder(int cost_type = COST_COLOR_GRAD, float terminal_cost = 10000.f,
 
-                        float bad_region_penalty = 1000.f);
 
-     ~GraphCutSeamFinder();
 
-     void find(const std::vector<UMat> &src, const std::vector<Point> &corners,
 
-               std::vector<UMat> &masks);
 
- private:
 
-     // To avoid GCGraph dependency
 
-     class Impl;
 
-     Ptr<PairwiseSeamFinder> impl_;
 
- };
 
- #ifdef HAVE_OPENCV_CUDALEGACY
 
- class CV_EXPORTS GraphCutSeamFinderGpu : public GraphCutSeamFinderBase, public PairwiseSeamFinder
 
- {
 
- public:
 
-     GraphCutSeamFinderGpu(int cost_type = COST_COLOR_GRAD, float terminal_cost = 10000.f,
 
-                           float bad_region_penalty = 1000.f)
 
-                           : cost_type_(cost_type), terminal_cost_(terminal_cost),
 
-                             bad_region_penalty_(bad_region_penalty) {}
 
-     void find(const std::vector<cv::UMat> &src, const std::vector<cv::Point> &corners,
 
-               std::vector<cv::UMat> &masks);
 
-     void findInPair(size_t first, size_t second, Rect roi);
 
- private:
 
-     void setGraphWeightsColor(const cv::Mat &img1, const cv::Mat &img2, const cv::Mat &mask1, const cv::Mat &mask2,
 
-                               cv::Mat &terminals, cv::Mat &leftT, cv::Mat &rightT, cv::Mat &top, cv::Mat &bottom);
 
-     void setGraphWeightsColorGrad(const cv::Mat &img1, const cv::Mat &img2, const cv::Mat &dx1, const cv::Mat &dx2,
 
-                                   const cv::Mat &dy1, const cv::Mat &dy2, const cv::Mat &mask1, const cv::Mat &mask2,
 
-                                   cv::Mat &terminals, cv::Mat &leftT, cv::Mat &rightT, cv::Mat &top, cv::Mat &bottom);
 
-     std::vector<Mat> dx_, dy_;
 
-     int cost_type_;
 
-     float terminal_cost_;
 
-     float bad_region_penalty_;
 
- };
 
- #endif
 
- //! @}
 
- } // namespace detail
 
- } // namespace cv
 
- #endif // OPENCV_STITCHING_SEAM_FINDERS_HPP
 
 
  |