/*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" namespace cv { using std::vector; Feature2D::~Feature2D() {} /* * Detect keypoints in an image. * image The image. * keypoints The detected keypoints. * mask Mask specifying where to look for keypoints (optional). Must be a char * matrix with non-zero values in the region of interest. */ void Feature2D::detect( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask ) { if( image.empty() ) { keypoints.clear(); return; } detectAndCompute(image, mask, keypoints, noArray(), false); } void Feature2D::detect( InputArrayOfArrays _images, std::vector<std::vector<KeyPoint> >& keypoints, InputArrayOfArrays _masks ) { vector<Mat> images, masks; _images.getMatVector(images); size_t i, nimages = images.size(); if( !_masks.empty() ) { _masks.getMatVector(masks); CV_Assert(masks.size() == nimages); } keypoints.resize(nimages); for( i = 0; i < nimages; i++ ) { detect(images[i], keypoints[i], masks.empty() ? Mat() : masks[i] ); } } /* * Compute the descriptors for a set of keypoints in an image. * image The image. * keypoints The input keypoints. Keypoints for which a descriptor cannot be computed are removed. * descriptors Copmputed descriptors. Row i is the descriptor for keypoint i. */ void Feature2D::compute( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) { if( image.empty() ) { descriptors.release(); return; } detectAndCompute(image, noArray(), keypoints, descriptors, true); } void Feature2D::compute( InputArrayOfArrays _images, std::vector<std::vector<KeyPoint> >& keypoints, OutputArrayOfArrays _descriptors ) { if( !_descriptors.needed() ) return; vector<Mat> images; _images.getMatVector(images); size_t i, nimages = images.size(); CV_Assert( keypoints.size() == nimages ); CV_Assert( _descriptors.kind() == _InputArray::STD_VECTOR_MAT ); vector<Mat>& descriptors = *(vector<Mat>*)_descriptors.getObj(); descriptors.resize(nimages); for( i = 0; i < nimages; i++ ) { compute(images[i], keypoints[i], descriptors[i]); } } /* Detects keypoints and computes the descriptors */ void Feature2D::detectAndCompute( InputArray, InputArray, std::vector<KeyPoint>&, OutputArray, bool ) { CV_Error(Error::StsNotImplemented, ""); } int Feature2D::descriptorSize() const { return 0; } int Feature2D::descriptorType() const { return CV_32F; } int Feature2D::defaultNorm() const { int tp = descriptorType(); return tp == CV_8U ? NORM_HAMMING : NORM_L2; } // Return true if detector object is empty bool Feature2D::empty() const { return true; } }