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authorsiddhu89902017-04-24 14:08:37 +0530
committersiddhu89902017-04-24 14:08:37 +0530
commit472b2e7ebbd2d8b3ecd00b228128aa8a0bd3f920 (patch)
tree506e85e6c959148c052747d61ffd29d98fa058bf /2.3-1/thirdparty/includes/OpenCV/opencv2/stitching/detail/matchers.hpp
parentb9cfdca438347fe4d28f7caff3cb7b382e455d3a (diff)
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Fixed float.h issue. OpenCV with built libraries working for linux x64
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+/*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_MATCHERS_HPP__
+#define __OPENCV_STITCHING_MATCHERS_HPP__
+
+#include "opencv2/core/core.hpp"
+#include "opencv2/core/gpumat.hpp"
+#include "opencv2/features2d/features2d.hpp"
+
+#include "opencv2/opencv_modules.hpp"
+
+#if defined(HAVE_OPENCV_NONFREE)
+ #include "opencv2/nonfree/gpu.hpp"
+#endif
+
+namespace cv {
+namespace detail {
+
+struct CV_EXPORTS ImageFeatures
+{
+ int img_idx;
+ Size img_size;
+ std::vector<KeyPoint> keypoints;
+ Mat descriptors;
+};
+
+
+class CV_EXPORTS FeaturesFinder
+{
+public:
+ virtual ~FeaturesFinder() {}
+ void operator ()(const Mat &image, ImageFeatures &features);
+ void operator ()(const Mat &image, ImageFeatures &features, const std::vector<cv::Rect> &rois);
+ virtual void collectGarbage() {}
+
+protected:
+ virtual void find(const Mat &image, ImageFeatures &features) = 0;
+};
+
+
+class CV_EXPORTS SurfFeaturesFinder : public FeaturesFinder
+{
+public:
+ SurfFeaturesFinder(double hess_thresh = 300., int num_octaves = 3, int num_layers = 4,
+ int num_octaves_descr = /*4*/3, int num_layers_descr = /*2*/4);
+
+private:
+ void find(const Mat &image, ImageFeatures &features);
+
+ Ptr<FeatureDetector> detector_;
+ Ptr<DescriptorExtractor> extractor_;
+ Ptr<Feature2D> surf;
+};
+
+class CV_EXPORTS OrbFeaturesFinder : public FeaturesFinder
+{
+public:
+ OrbFeaturesFinder(Size _grid_size = Size(3,1), int nfeatures=1500, float scaleFactor=1.3f, int nlevels=5);
+
+private:
+ void find(const Mat &image, ImageFeatures &features);
+
+ Ptr<ORB> orb;
+ Size grid_size;
+};
+
+
+#if defined(HAVE_OPENCV_NONFREE)
+class CV_EXPORTS SurfFeaturesFinderGpu : public FeaturesFinder
+{
+public:
+ SurfFeaturesFinderGpu(double hess_thresh = 300., int num_octaves = 3, int num_layers = 4,
+ int num_octaves_descr = 4, int num_layers_descr = 2);
+
+ void collectGarbage();
+
+private:
+ void find(const Mat &image, ImageFeatures &features);
+
+ gpu::GpuMat image_;
+ gpu::GpuMat gray_image_;
+ gpu::SURF_GPU surf_;
+ gpu::GpuMat keypoints_;
+ gpu::GpuMat descriptors_;
+#if defined(HAVE_OPENCV_GPU) && !defined(DYNAMIC_CUDA_SUPPORT)
+ int num_octaves_, num_layers_;
+ int num_octaves_descr_, num_layers_descr_;
+#endif
+};
+#endif
+
+
+struct CV_EXPORTS MatchesInfo
+{
+ MatchesInfo();
+ MatchesInfo(const MatchesInfo &other);
+ const MatchesInfo& operator =(const MatchesInfo &other);
+
+ int src_img_idx, dst_img_idx; // Images indices (optional)
+ std::vector<DMatch> matches;
+ std::vector<uchar> inliers_mask; // Geometrically consistent matches mask
+ int num_inliers; // Number of geometrically consistent matches
+ Mat H; // Estimated homography
+ double confidence; // Confidence two images are from the same panorama
+};
+
+
+class CV_EXPORTS FeaturesMatcher
+{
+public:
+ virtual ~FeaturesMatcher() {}
+
+ void operator ()(const ImageFeatures &features1, const ImageFeatures &features2,
+ MatchesInfo& matches_info) { match(features1, features2, matches_info); }
+
+ void operator ()(const std::vector<ImageFeatures> &features, std::vector<MatchesInfo> &pairwise_matches,
+ const cv::Mat &mask = cv::Mat());
+
+ bool isThreadSafe() const { return is_thread_safe_; }
+
+ virtual void collectGarbage() {}
+
+protected:
+ FeaturesMatcher(bool is_thread_safe = false) : is_thread_safe_(is_thread_safe) {}
+
+ virtual void match(const ImageFeatures &features1, const ImageFeatures &features2,
+ MatchesInfo& matches_info) = 0;
+
+ bool is_thread_safe_;
+};
+
+
+class CV_EXPORTS BestOf2NearestMatcher : public FeaturesMatcher
+{
+public:
+ BestOf2NearestMatcher(bool try_use_gpu = false, float match_conf = 0.3f, int num_matches_thresh1 = 6,
+ int num_matches_thresh2 = 6);
+
+ void collectGarbage();
+
+protected:
+ void match(const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo &matches_info);
+
+ int num_matches_thresh1_;
+ int num_matches_thresh2_;
+ Ptr<FeaturesMatcher> impl_;
+};
+
+} // namespace detail
+} // namespace cv
+
+#endif // __OPENCV_STITCHING_MATCHERS_HPP__