/*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*/ #include "precomp.hpp" using namespace cv; /////////////////////// AlgorithmInfo for various detector & descriptors //////////////////////////// /* NOTE!!! All the AlgorithmInfo-related stuff should be in the same file as initModule_features2d(). Otherwise, linker may throw away some seemingly unused stuff. */ CV_INIT_ALGORITHM(BriefDescriptorExtractor, "Feature2D.BRIEF", obj.info()->addParam(obj, "bytes", obj.bytes_)); /////////////////////////////////////////////////////////////////////////////////////////////////////////// CV_INIT_ALGORITHM(FastFeatureDetector, "Feature2D.FAST", obj.info()->addParam(obj, "threshold", obj.threshold); obj.info()->addParam(obj, "nonmaxSuppression", obj.nonmaxSuppression); obj.info()->addParam(obj, "type", obj.type, FastFeatureDetector::TYPE_9_16)); /////////////////////////////////////////////////////////////////////////////////////////////////////////// CV_INIT_ALGORITHM(StarDetector, "Feature2D.STAR", obj.info()->addParam(obj, "maxSize", obj.maxSize); obj.info()->addParam(obj, "responseThreshold", obj.responseThreshold); obj.info()->addParam(obj, "lineThresholdProjected", obj.lineThresholdProjected); obj.info()->addParam(obj, "lineThresholdBinarized", obj.lineThresholdBinarized); obj.info()->addParam(obj, "suppressNonmaxSize", obj.suppressNonmaxSize)); /////////////////////////////////////////////////////////////////////////////////////////////////////////// CV_INIT_ALGORITHM(MSER, "Feature2D.MSER", obj.info()->addParam(obj, "delta", obj.delta); obj.info()->addParam(obj, "minArea", obj.minArea); obj.info()->addParam(obj, "maxArea", obj.maxArea); obj.info()->addParam(obj, "maxVariation", obj.maxVariation); obj.info()->addParam(obj, "minDiversity", obj.minDiversity); obj.info()->addParam(obj, "maxEvolution", obj.maxEvolution); obj.info()->addParam(obj, "areaThreshold", obj.areaThreshold); obj.info()->addParam(obj, "minMargin", obj.minMargin); obj.info()->addParam(obj, "edgeBlurSize", obj.edgeBlurSize)); /////////////////////////////////////////////////////////////////////////////////////////////////////////// CV_INIT_ALGORITHM(ORB, "Feature2D.ORB", obj.info()->addParam(obj, "nFeatures", obj.nfeatures); obj.info()->addParam(obj, "scaleFactor", obj.scaleFactor); obj.info()->addParam(obj, "nLevels", obj.nlevels); obj.info()->addParam(obj, "firstLevel", obj.firstLevel); obj.info()->addParam(obj, "edgeThreshold", obj.edgeThreshold); obj.info()->addParam(obj, "patchSize", obj.patchSize); obj.info()->addParam(obj, "WTA_K", obj.WTA_K); obj.info()->addParam(obj, "scoreType", obj.scoreType)); /////////////////////////////////////////////////////////////////////////////////////////////////////////// CV_INIT_ALGORITHM(FREAK, "Feature2D.FREAK", obj.info()->addParam(obj, "orientationNormalized", obj.orientationNormalized); obj.info()->addParam(obj, "scaleNormalized", obj.scaleNormalized); obj.info()->addParam(obj, "patternScale", obj.patternScale); obj.info()->addParam(obj, "nbOctave", obj.nOctaves)); /////////////////////////////////////////////////////////////////////////////////////////////////////////// CV_INIT_ALGORITHM(GFTTDetector, "Feature2D.GFTT", obj.info()->addParam(obj, "nfeatures", obj.nfeatures); obj.info()->addParam(obj, "qualityLevel", obj.qualityLevel); obj.info()->addParam(obj, "minDistance", obj.minDistance); obj.info()->addParam(obj, "useHarrisDetector", obj.useHarrisDetector); obj.info()->addParam(obj, "k", obj.k)); /////////////////////////////////////////////////////////////////////////////////////////////////////////// class CV_EXPORTS HarrisDetector : public GFTTDetector { public: HarrisDetector( int maxCorners=1000, double qualityLevel=0.01, double minDistance=1, int blockSize=3, bool useHarrisDetector=true, double k=0.04 ); AlgorithmInfo* info() const; }; inline HarrisDetector::HarrisDetector( int _maxCorners, double _qualityLevel, double _minDistance, int _blockSize, bool _useHarrisDetector, double _k ) : GFTTDetector( _maxCorners, _qualityLevel, _minDistance, _blockSize, _useHarrisDetector, _k ) {} CV_INIT_ALGORITHM(HarrisDetector, "Feature2D.HARRIS", obj.info()->addParam(obj, "nfeatures", obj.nfeatures); obj.info()->addParam(obj, "qualityLevel", obj.qualityLevel); obj.info()->addParam(obj, "minDistance", obj.minDistance); obj.info()->addParam(obj, "useHarrisDetector", obj.useHarrisDetector); obj.info()->addParam(obj, "k", obj.k)); //////////////////////////////////////////////////////////////////////////////////////////////////////////// CV_INIT_ALGORITHM(DenseFeatureDetector, "Feature2D.Dense", obj.info()->addParam(obj, "initFeatureScale", obj.initFeatureScale); obj.info()->addParam(obj, "featureScaleLevels", obj.featureScaleLevels); obj.info()->addParam(obj, "featureScaleMul", obj.featureScaleMul); obj.info()->addParam(obj, "initXyStep", obj.initXyStep); obj.info()->addParam(obj, "initImgBound", obj.initImgBound); obj.info()->addParam(obj, "varyXyStepWithScale", obj.varyXyStepWithScale); obj.info()->addParam(obj, "varyImgBoundWithScale", obj.varyImgBoundWithScale)); CV_INIT_ALGORITHM(GridAdaptedFeatureDetector, "Feature2D.Grid", obj.info()->addParam(obj, "detector", obj.detector); obj.info()->addParam(obj, "maxTotalKeypoints", obj.maxTotalKeypoints); obj.info()->addParam(obj, "gridRows", obj.gridRows); obj.info()->addParam(obj, "gridCols", obj.gridCols)); bool cv::initModule_features2d(void) { bool all = true; all &= !BriefDescriptorExtractor_info_auto.name().empty(); all &= !FastFeatureDetector_info_auto.name().empty(); all &= !StarDetector_info_auto.name().empty(); all &= !MSER_info_auto.name().empty(); all &= !FREAK_info_auto.name().empty(); all &= !ORB_info_auto.name().empty(); all &= !GFTTDetector_info_auto.name().empty(); all &= !HarrisDetector_info_auto.name().empty(); all &= !DenseFeatureDetector_info_auto.name().empty(); all &= !GridAdaptedFeatureDetector_info_auto.name().empty(); return all; }