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https://github.com/opencv/opencv.git
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merged 2.4 into trunk
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@@ -0,0 +1,118 @@
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/*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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#include "precomp.hpp"
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namespace cv
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{
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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static Algorithm* createSURF()
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{
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return new SURF;
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}
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static AlgorithmInfo& surf_info()
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{
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static AlgorithmInfo surf_info_var("Feature2D.SURF", createSURF);
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return surf_info_var;
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}
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static AlgorithmInfo& surf_info_auto = surf_info();
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AlgorithmInfo* SURF::info() const
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{
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static volatile bool initialized = false;
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if( !initialized )
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{
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SURF obj;
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surf_info().addParam(obj, "hessianThreshold", obj.hessianThreshold);
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surf_info().addParam(obj, "nOctaves", obj.nOctaves);
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surf_info().addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
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surf_info().addParam(obj, "extended", obj.extended);
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surf_info().addParam(obj, "upright", obj.upright);
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initialized = true;
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}
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return &surf_info();
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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static Algorithm* createSIFT() { return new SIFT; }
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static AlgorithmInfo& sift_info()
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{
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static AlgorithmInfo sift_info_var("Feature2D.SIFT", createSIFT);
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return sift_info_var;
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}
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static AlgorithmInfo& sift_info_auto = sift_info();
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AlgorithmInfo* SIFT::info() const
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{
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static volatile bool initialized = false;
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if( !initialized )
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{
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SIFT obj;
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sift_info().addParam(obj, "nFeatures", obj.nfeatures);
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sift_info().addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
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sift_info().addParam(obj, "contrastThreshold", obj.contrastThreshold);
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sift_info().addParam(obj, "edgeThreshold", obj.edgeThreshold);
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sift_info().addParam(obj, "sigma", obj.sigma);
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initialized = true;
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}
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return &sift_info();
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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bool initModule_nonfree(void)
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{
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Ptr<Algorithm> sift = createSIFT(), surf = createSURF();
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return sift->info() != 0 && surf->info() != 0;
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}
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}
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@@ -7,10 +7,11 @@
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// copy or use the software.
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//
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//
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// Intel License Agreement
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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, Intel Corporation, all rights reserved.
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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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@@ -23,7 +24,7 @@
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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 Intel Corporation may not be used to endorse or promote products
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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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@@ -7,10 +7,11 @@
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// copy or use the software.
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//
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//
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// Intel License Agreement
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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, Intel Corporation, all rights reserved.
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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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@@ -23,7 +24,7 @@
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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 Intel Corporation may not be used to endorse or promote products
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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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@@ -443,6 +443,22 @@ struct SURFFindInvoker
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float hessianThreshold;
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};
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struct KeypointGreater
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{
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inline bool operator()(const KeyPoint& kp1, const KeyPoint& kp2) const
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{
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if(kp1.response > kp2.response) return true;
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if(kp1.response < kp2.response) return false;
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if(kp1.size > kp2.size) return true;
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if(kp1.size < kp2.size) return false;
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if(kp1.octave > kp2.octave) return true;
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if(kp1.octave < kp2.octave) return false;
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if(kp1.pt.y < kp2.pt.y) return false;
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if(kp1.pt.y > kp2.pt.y) return true;
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return kp1.pt.x < kp2.pt.y;
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}
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};
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static void fastHessianDetector( const Mat& sum, const Mat& mask_sum, vector<KeyPoint>& keypoints,
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int nOctaves, int nOctaveLayers, float hessianThreshold )
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@@ -490,6 +506,8 @@ static void fastHessianDetector( const Mat& sum, const Mat& mask_sum, vector<Key
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SURFFindInvoker(sum, mask_sum, dets, traces, sizes,
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sampleSteps, middleIndices, keypoints,
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nOctaveLayers, hessianThreshold) );
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std::sort(keypoints.begin(), keypoints.end(), KeypointGreater());
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}
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@@ -938,76 +956,6 @@ void SURF::detectImpl( const Mat& image, vector<KeyPoint>& keypoints, const Mat&
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void SURF::computeImpl( const Mat& image, vector<KeyPoint>& keypoints, Mat& descriptors) const
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{
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(*this)(image, Mat(), keypoints, descriptors, true);
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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static Algorithm* createSURF()
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{
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return new SURF;
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}
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static AlgorithmInfo& surf_info()
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{
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static AlgorithmInfo surf_info_var("Feature2D.SURF", createSURF);
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return surf_info_var;
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}
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static AlgorithmInfo& surf_info_auto = surf_info();
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AlgorithmInfo* SURF::info() const
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{
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static volatile bool initialized = false;
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if( !initialized )
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{
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SURF obj;
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surf_info().addParam(obj, "hessianThreshold", obj.hessianThreshold);
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surf_info().addParam(obj, "nOctaves", obj.nOctaves);
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surf_info().addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
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surf_info().addParam(obj, "extended", obj.extended);
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surf_info().addParam(obj, "upright", obj.upright);
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initialized = true;
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}
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return &surf_info();
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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static Algorithm* createSIFT() { return new SIFT; }
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static AlgorithmInfo& sift_info()
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{
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static AlgorithmInfo sift_info_var("Feature2D.SIFT", createSIFT);
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return sift_info_var;
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}
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static AlgorithmInfo& sift_info_auto = sift_info();
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AlgorithmInfo* SIFT::info() const
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{
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static volatile bool initialized = false;
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if( !initialized )
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{
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SIFT obj;
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sift_info().addParam(obj, "nFeatures", obj.nfeatures);
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sift_info().addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
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sift_info().addParam(obj, "contrastThreshold", obj.contrastThreshold);
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sift_info().addParam(obj, "edgeThreshold", obj.edgeThreshold);
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sift_info().addParam(obj, "sigma", obj.sigma);
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initialized = true;
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}
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return &sift_info();
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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bool initModule_nonfree(void)
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{
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Ptr<Algorithm> sift = createSIFT(), surf = createSURF();
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return sift->info() != 0 && surf->info() != 0;
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}
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}
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