鱼眼标定校正 opencv3.0 视场大小可调

//运行环境 VS2012+opencv3.0
#include 
#include 
using namespace std;
using namespace cv;

int main（）
{
    ofstream fout（“caliberation_result.txt“）;  /**    保存定标结果的文件     **/

    /************************************************************************  
           读取每一幅图像，从中提取出角点，然后对角点进行亚像素精确化  
    *************************************************************************/   
    cout<<“开始提取角点………………“<    int image_count=  12;                    /****    图像数量     ****/    
    Size board_size = Size（96）;            /****    定标板上每行、列的角点数       ****/  
    vector corners;                  /****    缓存每幅图像上检测到的角点       ****/
    vector>  corners_Seq;    /****  保存检测到的所有角点       ****/   
    vector  image_Seq;
	int successImageNum = 0;				/****	成功提取角点的棋盘图数量	****/

    int count = 0;
    for（ int i = 0;  i != image_count ; i++）
    {
        cout<<“frame #“<        string imageFileName;
        std::stringstream StrStm;
        StrStm<        StrStm>>imageFileName;
        imageFileName += “.jpg“;
        cv::Mat image = imread（“img“+imageFileName）; 
        /* 提取角点 */   
        Mat imageGray;
        cvtColor（image imageGray  CV_RGB2GRAY）;
        bool patternfound = findChessboardCorners（image board_size cornersCALIB_CB_ADAPTIVE_THRESH + CALIB_CB_NORMALIZE_IMAGE+ 
            CALIB_CB_FAST_CHECK ）;
        if （!patternfound）   
        {   
            cout<<“can not find chessboard corners!
“;  
            continue;
            exit（1）;   
        } 
        else
        {   
            /* 亚像素精确化 */
            cornerSubPix（imageGray corners Size（11 11） Size（-1 -1） TermCriteria（CV_TERMCRIT_EPS + CV_TERMCRIT_ITER 30 0.1））;
            /* 绘制检测到的角点并保存 */
            Mat imageTemp = image.clone（）;
            for （int j = 0; j < corners.size（）; j++）
            {
                circle（ imageTemp corners[j] 10 Scalar（00255） 2 8 0）;
            }
            string imageFileName;
            std::stringstream StrStm;
            StrStm<            StrStm>>imageFileName;
            imageFileName += “_corner.jpg“;
            imwrite（imageFileNameimageTemp）;
            cout<<“frame corner#“<
            count = count + corners.size（）;
			successImageNum = successImageNum + 1;
            corners_Seq.push_back（corners）;
        }   
        image_Seq.push_back（image）;
    }   
    cout<<“角点提取完成！
“; 
    /************************************************************************  
           摄像机定标  
    *************************************************************************/   
    cout<<“开始定标………………“<	Size square_size = Size（2020）;     
	vector>  object_Points;        /****  保存定标板上角点的三维坐标   ****/

    Mat image_points = Mat（1 count CV_32FC2 Scalar::all（0））;  /*****   保存提取的所有角点   *****/
    vector  point_coun

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     文件       4529  2016-12-02 21:48  3.0鱼眼标定校正ConsoleApplication1ConsoleApplication1caliberation_result.txt

     文件       7712  2016-12-02 19:36  3.0鱼眼标定校正ConsoleApplication1ConsoleApplication1ConsoleApplication1.vcxproj

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