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Open Source Computer Vision Library
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139 lines
4.8 KiB
139 lines
4.8 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 __OPENCV_MATCHERS_HPP__ |
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#define __OPENCV_MATCHERS_HPP__ |
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#include "precomp.hpp" |
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struct ImageFeatures |
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{ |
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int img_idx; |
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cv::Size img_size; |
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std::vector<cv::KeyPoint> keypoints; |
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cv::Mat descriptors; |
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}; |
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class FeaturesFinder |
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{ |
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public: |
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virtual ~FeaturesFinder() {} |
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void operator ()(const cv::Mat &image, ImageFeatures &features); |
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virtual void releaseMemory() {} |
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protected: |
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virtual void find(const cv::Mat &image, ImageFeatures &features) = 0; |
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}; |
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class SurfFeaturesFinder : public FeaturesFinder |
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{ |
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public: |
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SurfFeaturesFinder(bool try_use_gpu = true, double hess_thresh = 300.0, |
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int num_octaves = 3, int num_layers = 4, |
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int num_octaves_descr = 4, int num_layers_descr = 2); |
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void releaseMemory(); |
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protected: |
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void find(const cv::Mat &image, ImageFeatures &features); |
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cv::Ptr<FeaturesFinder> impl_; |
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}; |
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struct MatchesInfo |
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{ |
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MatchesInfo(); |
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MatchesInfo(const MatchesInfo &other); |
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const MatchesInfo& operator =(const MatchesInfo &other); |
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int src_img_idx, dst_img_idx; // Images indices (optional) |
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std::vector<cv::DMatch> matches; |
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std::vector<uchar> inliers_mask; // Geometrically consistent matches mask |
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int num_inliers; // Number of geometrically consistent matches |
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cv::Mat H; // Estimated homography |
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double confidence; // Confidence two images are from the same panorama |
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}; |
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class FeaturesMatcher |
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{ |
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public: |
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virtual ~FeaturesMatcher() {} |
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void operator ()(const ImageFeatures &features1, const ImageFeatures &features2, |
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MatchesInfo& matches_info) { match(features1, features2, matches_info); } |
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void operator ()(const std::vector<ImageFeatures> &features, std::vector<MatchesInfo> &pairwise_matches); |
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bool isThreadSafe() const { return is_thread_safe_; } |
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virtual void releaseMemory() {} |
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protected: |
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FeaturesMatcher(bool is_thread_safe = false) : is_thread_safe_(is_thread_safe) {} |
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virtual void match(const ImageFeatures &features1, const ImageFeatures &features2, |
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MatchesInfo& matches_info) = 0; |
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bool is_thread_safe_; |
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}; |
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class BestOf2NearestMatcher : public FeaturesMatcher |
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{ |
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public: |
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BestOf2NearestMatcher(bool try_use_gpu = true, float match_conf = 0.55f, int num_matches_thresh1 = 6, |
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int num_matches_thresh2 = 6); |
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void releaseMemory(); |
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protected: |
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void match(const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo &matches_info); |
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int num_matches_thresh1_; |
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int num_matches_thresh2_; |
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cv::Ptr<FeaturesMatcher> impl_; |
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}; |
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#endif // __OPENCV_MATCHERS_HPP__
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