OPENCV3.0 单目摄像头标定(使用官方自带的标定图片)

// opencv_test.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include
#include
#include "cv.h"
#include
#include

using namespace std;
using namespace cv;

const int imageWidth = 640;                             //摄像头的分辨率
const int imageHeight = 480;
const int boardWidth = 9;                               //横向的角点数目
const int boardHeight = 6;                              //纵向的角点数据
const int boardCorner = boardWidth * boardHeight;       //总的角点数据
const int frameNumber = 13;                             //相机标定时需要采用的图像帧数
const int squareSize = 20;                              //标定板黑白格子的大小 单位mm
const Size boardSize = Size(boardWidth, boardHeight);   //

Mat intrinsic;                                          //相机内参数
Mat distortion_coeff;                                   //相机畸变参数
vector rvecs;                                        //旋转向量
vector tvecs;                                        //平移向量
vector> corners;                        //各个图像找到的角点的集合 和objRealPoint 一一对应
vector> objRealPoint;                   //各副图像的角点的实际物理坐标集合


vector corner;                                   //某一副图像找到的角点

Mat rgbImage, grayImage;

/*计算标定板上模块的实际物理坐标*/
void calRealPoint(vector>& obj, int boardwidth,int boardheight, int imgNumber, int squaresize)
{
//  Mat imgpoint(boardheight, boardwidth, CV_32FC3,Scalar(0,0,0));
    vector imgpoint;
    for (int rowIndex = 0; rowIndex < boardheight; rowIndex++)
    {
        for (int colIndex = 0; colIndex < boardwidth; colIndex++)
        {
        //  imgpoint.at(rowIndex, colIndex) = Vec3f(rowIndex * squaresize, colIndex*squaresize, 0);
            imgpoint.push_back(Point3f(rowIndex * squaresize, colIndex * squaresize, 0));
        }
    }
    for (int imgIndex = 0; imgIndex < imgNumber; imgIndex++)
    {
        obj.push_back(imgpoint);
    }
}

/*设置相机的初始参数 也可以不估计*/
void guessCameraParam(void )
{
    /*分配内存*/
    intrinsic.create(3, 3, CV_64FC1);
    distortion_coeff.create(5, 1, CV_64FC1);

    /*
    fx 0 cx
    0 fy cy
    0 0  1
    */
    intrinsic.at<double>(0,0) = 256.8093262;   //fx
    intrinsic.at<double>(0, 2) = 160.2826538;   //cx
    intrinsic.at<double>(1, 1) = 254.7511139;   //fy
    intrinsic.at<double>(1, 2) = 127.6264572;   //cy

    intrinsic.at<double>(0, 1) = 0;
    intrinsic.at<double>(1, 0) = 0;
    intrinsic.at<double>(2, 0) = 0;
    intrinsic.at<double>(2, 1) = 0;
    intrinsic.at<double>(2, 2) = 1;

    /*
    k1 k2 p1 p2 p3
    */
    distortion_coeff.at<double>(0, 0) = -0.193740;  //k1
    distortion_coeff.at<double>(1, 0) = -0.378588;  //k2
    distortion_coeff.at<double>(2, 0) = 0.028980;   //p1
    distortion_coeff.at<double>(3, 0) = 0.008136;   //p2
    distortion_coeff.at<double>(4, 0) = 0;          //p3
}

void outputCameraParam(void )
{
    /*保存数据*/
    //cvSave("cameraMatrix.xml", &intrinsic);
    //cvSave("cameraDistoration.xml", &distortion_coeff);
    //cvSave("rotatoVector.xml", &rvecs);
    //cvSave("translationVector.xml", &tvecs);
    /*输出数据*/
    cout << "fx :" << intrinsic.at<double>(0, 0) << endl << "fy :" << intrinsic.at<double>(1, 1) << endl;
    cout << "cx :" << intrinsic.at<double>(0, 2) << endl << "cy :" << intrinsic.at<double>(1, 2) << endl;

    cout << "k1 :" << distortion_coeff.at<double>(0, 0) << endl;
    cout << "k2 :" << distortion_coeff.at<double>(1, 0) << endl;
    cout << "p1 :" << distortion_coeff.at<double>(2, 0) << endl;
    cout << "p2 :" << distortion_coeff.at<double>(3, 0) << endl;
    cout << "p3 :" << distortion_coeff.at<double>(4, 0) << endl;
}


int _tmain(int argc, _TCHAR* argv[])
{
    Mat img;
    int goodFrameCount = 0;
    namedWindow("chessboard");
    cout << "按Q退出 ..." << endl;
    while (goodFrameCount < frameNumber)
    {
        char filename[100];
        sprintf_s(filename,"image\\left%02d.jpg", goodFrameCount + 1);
    //  cout << filename << endl;
        rgbImage = imread(filename, CV_LOAD_IMAGE_COLOR);
        cvtColor(rgbImage, grayImage, CV_BGR2GRAY);
        imshow("Camera", grayImage);

        bool isFind = findChessboardCorners(rgbImage, boardSize, corner,0);
        if (isFind == true) //所有角点都被找到 说明这幅图像是可行的
        {
            /*
            Size(5,5) 搜索窗口的一半大小
            Size(-1,-1) 死区的一半尺寸
            TermCriteria(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 20, 0.1)迭代终止条件
            */
            cornerSubPix(grayImage, corner, Size(5,5), Size(-1, -1), TermCriteria(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 20, 0.1));
            drawChessboardCorners(rgbImage, boardSize, corner, isFind);
            imshow("chessboard", rgbImage);
            corners.push_back(corner);
            //string filename = "res\\image\\calibration";
            //filename += goodFrameCount + ".jpg";
            //cvSaveImage(filename.c_str(), &IplImage(rgbImage));       //把合格的图片保存起来
            goodFrameCount++;
            cout << "The image is good" << endl;
        }
        else
        {
            cout << "The image is bad please try again" << endl;
        }
    //  cout << "Press any key to continue..." << endl;
    //  waitKey(0);

       if (waitKey(10) == 'q')
        {
            break;
        }
    //  imshow("chessboard", rgbImage);
    }

    /*
    图像采集完毕 接下来开始摄像头的校正
    calibrateCamera()
    输入参数 objectPoints  角点的实际物理坐标
             imagePoints   角点的图像坐标
             imageSize     图像的大小
    输出参数
             cameraMatrix  相机的内参矩阵
             distCoeffs    相机的畸变参数
             rvecs         旋转矢量(外参数)
             tvecs         平移矢量(外参数）
    */

    /*设置实际初始参数 根据calibrateCamera来 如果flag = 0 也可以不进行设置*/
    guessCameraParam();
    cout << "guess successful" << endl;
    /*计算实际的校正点的三维坐标*/
    calRealPoint(objRealPoint, boardWidth, boardHeight,frameNumber, squareSize);
    cout << "cal real successful" << endl;
    /*标定摄像头*/
    calibrateCamera(objRealPoint, corners, Size(imageWidth, imageHeight), intrinsic, distortion_coeff, rvecs, tvecs, 0);
    cout << "calibration successful" << endl;
    /*保存并输出参数*/
    outputCameraParam();
    cout << "out successful" << endl;

    /*显示畸变校正效果*/
    Mat cImage;
    undistort(rgbImage, cImage, intrinsic, distortion_coeff);
    imshow("Corret Image", cImage);
    cout << "Correct Image" << endl;
    cout << "Wait for Key" << endl;
    waitKey(0);
    system("pause");
    return 0;
}

OPENCV3.0版本跟2.x版本是有一点差距的，这个程序在2.4.11版本里面跑不起来。

找了很久都没有找到错误，主要是在calibrateCamera()函数的时候出错。

也参考了官方的calibration例程，但还是找不到错误在什么地方。

下面是3.0版本的代码 注释都在代码里面