/*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) 2008, 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 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" namespace cv { void write(FileStorage& fs, const string& objname, const vector& keypoints) { WriteStructContext ws(fs, objname, CV_NODE_SEQ + CV_NODE_FLOW); int i, npoints = (int)keypoints.size(); for( i = 0; i < npoints; i++ ) { const KeyPoint& kpt = keypoints[i]; write(fs, kpt.pt.x); write(fs, kpt.pt.y); write(fs, kpt.size); write(fs, kpt.angle); write(fs, kpt.response); write(fs, kpt.octave); write(fs, kpt.class_id); } } void read(const FileNode& node, vector& keypoints) { keypoints.resize(0); FileNodeIterator it = node.begin(), it_end = node.end(); for( ; it != it_end; ) { KeyPoint kpt; it >> kpt.pt.x >> kpt.pt.y >> kpt.size >> kpt.angle >> kpt.response >> kpt.octave >> kpt.class_id; keypoints.push_back(kpt); } } void KeyPoint::convert(const std::vector& keypoints, std::vector& points2f, const vector& keypointIndexes) { if( keypointIndexes.empty() ) { points2f.resize( keypoints.size() ); for( size_t i = 0; i < keypoints.size(); i++ ) points2f[i] = keypoints[i].pt; } else { points2f.resize( keypointIndexes.size() ); for( size_t i = 0; i < keypointIndexes.size(); i++ ) { int idx = keypointIndexes[i]; if( idx >= 0 ) points2f[i] = keypoints[idx].pt; else { CV_Error( CV_StsBadArg, "keypointIndexes has element < 0. TODO: process this case" ); //points2f[i] = Point2f(-1, -1); } } } } void KeyPoint::convert( const std::vector& points2f, std::vector& keypoints, float size, float response, int octave, int class_id ) { for( size_t i = 0; i < points2f.size(); i++ ) keypoints[i] = KeyPoint(points2f[i], size, -1, response, octave, class_id); } float KeyPoint::overlap( const KeyPoint& kp1, const KeyPoint& kp2 ) { float a = kp1.size * 0.5f; float b = kp2.size * 0.5f; float a_2 = a * a; float b_2 = b * b; Point2f p1 = kp1.pt; Point2f p2 = kp2.pt; float c = (float)norm( p1 - p2 ); float ovrl = 0.f; // one circle is completely encovered by the other => no intersection points! if( min( a, b ) + c <= max( a, b ) ) return min( a_2, b_2 ) / max( a_2, b_2 ); if( c < a + b ) // circles intersect { float c_2 = c * c; float cosAlpha = ( b_2 + c_2 - a_2 ) / ( kp2.size * c ); float cosBeta = ( a_2 + c_2 - b_2 ) / ( kp1.size * c ); float alpha = acos( cosAlpha ); float beta = acos( cosBeta ); float sinAlpha = sin(alpha); float sinBeta = sin(beta); float segmentAreaA = a_2 * beta; float segmentAreaB = b_2 * alpha; float triangleAreaA = a_2 * sinBeta * cosBeta; float triangleAreaB = b_2 * sinAlpha * cosAlpha; float intersectionArea = segmentAreaA + segmentAreaB - triangleAreaA - triangleAreaB; float unionArea = (a_2 + b_2) * (float)CV_PI - intersectionArea; ovrl = intersectionArea / unionArea; } return ovrl; } struct RoiPredicate { RoiPredicate( const Rect& _r ) : r(_r) {} bool operator()( const KeyPoint& keyPt ) const { return !r.contains( keyPt.pt ); } Rect r; }; void KeyPointsFilter::runByImageBorder( vector& keypoints, Size imageSize, int borderSize ) { if( borderSize > 0) { keypoints.erase( remove_if(keypoints.begin(), keypoints.end(), RoiPredicate(Rect(Point(borderSize, borderSize), Point(imageSize.width - borderSize, imageSize.height - borderSize)))), keypoints.end() ); } } struct SizePredicate { SizePredicate( float _minSize, float _maxSize ) : minSize(_minSize), maxSize(_maxSize) {} bool operator()( const KeyPoint& keyPt ) const { float size = keyPt.size; return (size < minSize) || (size > maxSize); } float minSize, maxSize; }; void KeyPointsFilter::runByKeypointSize( vector& keypoints, float minSize, float maxSize ) { CV_Assert( minSize >= 0 ); CV_Assert( maxSize >= 0); CV_Assert( minSize <= maxSize ); keypoints.erase( remove_if(keypoints.begin(), keypoints.end(), SizePredicate(minSize, maxSize)), keypoints.end() ); } }