/*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. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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" #include namespace cv { /****************************************************************************************\ * DescriptorExtractor * \****************************************************************************************/ /* * DescriptorExtractor */ DescriptorExtractor::~DescriptorExtractor() {} void DescriptorExtractor::compute( InputArray image, std::vector& keypoints, OutputArray descriptors ) const { if( image.empty() || keypoints.empty() ) { descriptors.release(); return; } KeyPointsFilter::runByImageBorder( keypoints, image.size(), 0 ); KeyPointsFilter::runByKeypointSize( keypoints, std::numeric_limits::epsilon() ); computeImpl( image, keypoints, descriptors ); } void DescriptorExtractor::compute( InputArrayOfArrays _imageCollection, std::vector >& pointCollection, OutputArrayOfArrays _descCollection ) const { std::vector imageCollection, descCollection; _imageCollection.getMatVector(imageCollection); _descCollection.getMatVector(descCollection); CV_Assert( imageCollection.size() == pointCollection.size() ); descCollection.resize( imageCollection.size() ); for( size_t i = 0; i < imageCollection.size(); i++ ) compute( imageCollection[i], pointCollection[i], descCollection[i] ); } /*void DescriptorExtractor::read( const FileNode& ) {} void DescriptorExtractor::write( FileStorage& ) const {}*/ bool DescriptorExtractor::empty() const { return false; } void DescriptorExtractor::removeBorderKeypoints( std::vector& keypoints, Size imageSize, int borderSize ) { KeyPointsFilter::runByImageBorder( keypoints, imageSize, borderSize ); } Ptr DescriptorExtractor::create(const String& descriptorExtractorType) { return Algorithm::create("Feature2D." + descriptorExtractorType); } CV_WRAP void Feature2D::compute( InputArray image, CV_OUT CV_IN_OUT std::vector& keypoints, OutputArray descriptors ) const { DescriptorExtractor::compute(image, keypoints, descriptors); } }