利用aruco标定板标定相机

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于 2025-07-23 17:47:17 发布 · 356 阅读

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#opencv #计算机视觉

1、生成aruco标定板

#include <opencv2/opencv.hpp>
#include <opencv2/aruco.hpp>
#include <opencv2/objdetect/aruco_detector.hpp>
#include <iostream>
#include <string>

using namespace cv;
using namespace std;

int main() 
{
    int markersX = 17;
    int markersY = 12;
    int markerLength = 200;
    int markerSeparation = 44;
    int margins = markerSeparation;
    int borderBits = 1;
    bool showImage = false;
    String out = "aruco_board4.png";

    Size imageSize;
    imageSize.width = markersX * (markerLength + markerSeparation) - markerSeparation + 2 * margins;
    imageSize.height = markersY * (markerLength + markerSeparation) - markerSeparation + 2 * margins;

    aruco::Dictionary dictionary = cv::aruco::getPredefinedDictionary(cv::aruco::DICT_6X6_250);
    aruco::GridBoard board(Size(markersX, markersY), float(markerLength), float(markerSeparation), dictionary);

    Mat boardImage;
    board.generateImage(imageSi