ORB-SLAM3-UESTC/Workspace/include/ORBextractor.h

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2023-11-28 19:20:25 +08:00
/**
* This file is part of ORB-SLAM3
*
* Copyright (C) 2017-2021 Carlos Campos, Richard Elvira, Juan J. Gómez Rodríguez, José M.M. Montiel and Juan D. Tardós, University of Zaragoza.
* Copyright (C) 2014-2016 Raúl Mur-Artal, José M.M. Montiel and Juan D. Tardós, University of Zaragoza.
*
* ORB-SLAM3 is free software: you can redistribute it and/or modify it under the terms of the GNU General Public
* License as published by the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* ORB-SLAM3 is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even
* the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with ORB-SLAM3.
* If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef ORBEXTRACTOR_H
#define ORBEXTRACTOR_H
#include <vector>
#include <list>
#include <opencv2/opencv.hpp>
namespace ORB_SLAM3
{
class ExtractorNode
{
public:
ExtractorNode():bNoMore(false){}
void DivideNode(ExtractorNode &n1, ExtractorNode &n2, ExtractorNode &n3, ExtractorNode &n4);
std::vector<cv::KeyPoint> vKeys;
cv::Point2i UL, UR, BL, BR;
std::list<ExtractorNode>::iterator lit;
bool bNoMore;
};
class ORBextractor
{
public:
enum {HARRIS_SCORE=0, FAST_SCORE=1 };
ORBextractor(int nfeatures, float scaleFactor, int nlevels,
int iniThFAST, int minThFAST);
~ORBextractor(){}
// Compute the ORB features and descriptors on an image.
// ORB are dispersed on the image using an octree.
// Mask is ignored in the current implementation.
int operator()( cv::InputArray _image, cv::InputArray _mask,
std::vector<cv::KeyPoint>& _keypoints,
cv::OutputArray _descriptors, std::vector<int> &vLappingArea);
int inline GetLevels(){
return nlevels;}
float inline GetScaleFactor(){
return scaleFactor;}
std::vector<float> inline GetScaleFactors(){
return mvScaleFactor;
}
std::vector<float> inline GetInverseScaleFactors(){
return mvInvScaleFactor;
}
std::vector<float> inline GetScaleSigmaSquares(){
return mvLevelSigma2;
}
std::vector<float> inline GetInverseScaleSigmaSquares(){
return mvInvLevelSigma2;
}
std::vector<cv::Mat> mvImagePyramid;
protected:
void ComputePyramid(cv::Mat image);
void ComputeKeyPointsOctTree(std::vector<std::vector<cv::KeyPoint> >& allKeypoints);
std::vector<cv::KeyPoint> DistributeOctTree(const std::vector<cv::KeyPoint>& vToDistributeKeys, const int &minX,
const int &maxX, const int &minY, const int &maxY, const int &nFeatures, const int &level);
void ComputeKeyPointsOld(std::vector<std::vector<cv::KeyPoint> >& allKeypoints);
std::vector<cv::Point> pattern;
int nfeatures;
double scaleFactor;
int nlevels;
int iniThFAST;
int minThFAST;
std::vector<int> mnFeaturesPerLevel;
std::vector<int> umax;
std::vector<float> mvScaleFactor;
std::vector<float> mvInvScaleFactor;
std::vector<float> mvLevelSigma2;
std::vector<float> mvInvLevelSigma2;
};
} //namespace ORB_SLAM
#endif