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#include <opencv2/opencv.hpp>
#include <opencv2/calib3d/calib3d.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <stdio.h>
#include <iostream>
// Defining the dimensions of checkerboard
int CHECKERBOARD[2]{6,9};
int main()
{
// Creating vector to store vectors of 3D points for each checkerboard image
std::vector<std::vector<cv::Point3f> > objpoints;
// Creating vector to store vectors of 2D points for each checkerboard image
std::vector<std::vector<cv::Point2f> > imgpoints;
// Defining the world coordinates for 3D points
std::vector<cv::Point3f> objp;
for(int i{0}; i<CHECKERBOARD[1]; i++)
{
for(int j{0}; j<CHECKERBOARD[0]; j++)
objp.push_back(cv::Point3f(j,i,0));
}
// Extracting path of individual image stored in a given directory
std::vector<cv::String> images;
// Path of the folder containing checkerboard images
std::string path = "./images/*.jpg";
cv::glob(path, images);
cv::Mat frame, gray;
// vector to store the pixel coordinates of detected checker board corners
std::vector<cv::Point2f> corner_pts;
bool success;
// Looping over all the images in the directory
for(int i{0}; i<images.size(); i++)
{
frame = cv::imread(images[i]);
cv::cvtColor(frame,gray,cv::COLOR_BGR2GRAY);
// Finding checker board corners
// If desired number of corners are found in the image then success = true
success = cv::findChessboardCorners(gray,cv::Size(CHECKERBOARD[0],CHECKERBOARD[1]), corner_pts, cv::CALIB_CB_ADAPTIVE_THRESH | cv::CALIB_CB_FAST_CHECK | cv::CALIB_CB_NORMALIZE_IMAGE);
/*
* If desired number of corner are detected,
* we refine the pixel coordinates and display
* them on the images of checker board
*/
if(success)
{
cv::TermCriteria criteria(cv::TermCriteria::EPS | cv::TermCriteria::MAX_ITER, 30, 0.001);
// refining pixel coordinates for given 2d points.
cv::cornerSubPix(gray,corner_pts,cv::Size(11,11), cv::Size(-1,-1),criteria);
// Displaying the detected corner points on the checker board
cv::drawChessboardCorners(frame, cv::Size(CHECKERBOARD[0],CHECKERBOARD[1]), corner_pts,success);
objpoints.push_back(objp);
imgpoints.push_back(corner_pts);
}
cv::imshow("Image",frame);
cv::waitKey(0);
}
cv::destroyAllWindows();
cv::Mat cameraMatrix,distCoeffs,R,T;
/*
* Performing camera calibration by
* passing the value of known 3D points (objpoints)
* and corresponding pixel coordinates of the
* detected corners (imgpoints)
*/
cv::calibrateCamera(objpoints, imgpoints,cv::Size(gray.rows,gray.cols),cameraMatrix,distCoeffs,R,T);
std::cout << "cameraMatrix : " << cameraMatrix << std::endl;
std::cout << "distCoeffs : " << distCoeffs << std::endl;
std::cout << "Rotation vector : " << R << std::endl;
std::cout << "Translation vector : " << T << std::endl;
return 0;
}
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