问题描述

基于opencv的人脸识别，代码运行出错，求帮忙！

代码显示是没有错的，运行显示有未处理的异常，求大神！急！！！

解决方案

求大神帮忙！如果熟悉C++语言的，再详谈啊！我在手机上不方便传代码！

解决方案二：

#include
#include
#include
using namespace std;
void PrintMat(CvMat*);
void FputMat(FILE , CvMat *);
int main(int argc, char * argv[])
{
/读入图像*/
CvSize image_size;
int n_board = 9;//图像数目
int sn_board = 0;//成功找到角点的图像数目
int board_w = 6;
int board_h = 9;
int board_n = board_h*board_w;//每幅图像的角点数
CvSize patter_size = cvSize(board_w, board_h);//每幅图像的角点数
CvPoint2D32f * corners = new CvPoint2D32f[board_n];//一幅图像的角点数组
CvMat * object_points = cvCreateMat(board_n*n_board, 3, CV_32FC1);
CvMat * image_points = cvCreateMat(board_n*n_board, 2, CV_32FC1);
CvMat * point_counts = cvCreateMat(n_board, 1, CV_32SC1);
for (int i = 1; i <= n_board; i++)
{
/*读入图像*/
char path[100] = "F:PPDownloadmabianQQ.mp4";
char num[10];
sprintf(num, "%d", i);
strcat(num, ".jpg");
IplImage SourceImg = cvLoadImage(strcat(path, num), CV_LOAD_IMAGE_COLOR);
image_size = cvGetSize(SourceImg);//图像的大小
IplImage *SourceImgGray = cvCreateImage(image_size, IPL_DEPTH_8U, 1);
cvCvtColor(SourceImg, SourceImgGray, CV_BGR2GRAY);
cvNamedWindow("MyCalib", CV_WINDOW_AUTOSIZE);
cvShowImage("MyCalib", SourceImg);
cvWaitKey(NULL);
/提取角点精确到亚像素*/
int corner_count;
if (0 == cvFindChessboardCorners(SourceImgGray, patter_size, corners, &corner_count, CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_FILTER_QUADS))
{
cout << "......无法找出第" << i << "幅图的角点" << endl;
cvWaitKey(NULL);
cvReleaseImage(&SourceImgGray);
cvReleaseImage(&SourceImg);
continue;
//return -1;
}
else
{
cvFindCornerSubPix(SourceImgGray, corners, corner_count, cvSize(11, 11), cvSize(-1, -1), cvTermCriteria(
CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 30, 0.1));//CvSize win 和matlab标定工具箱类似
cvDrawChessboardCorners(SourceImg, patter_size, corners, corner_count, 1);
cvShowImage("MyCalib", SourceImg);
//cvSaveImage("F:vs2008testmycalib_011.jpg",SourceImg);
}
cvWaitKey(0);
for (int j = 0; j<board_n; j++)
{
CV_MAT_ELEM(*image_points, float, sn_board*board_n + j, 0) = corners[j].x;
CV_MAT_ELEM(*image_points, float, sn_board*board_n + j, 1) = corners[j].y;
CV_MAT_ELEM(*object_points, float, sn_board*board_n + j, 0) = float(j / board_w);
CV_MAT_ELEM(*object_points, float, sn_board*board_n + j, 1) = float(j%board_w);
CV_MAT_ELEM(*object_points, float, sn_board*board_n + j, 2) = 0.0f;
CV_MAT_ELEM(*point_counts, int, sn_board, 0) = board_n;
}
sn_board++;
cvReleaseImage(&SourceImgGray);
cvReleaseImage(&SourceImg);
cout << "......成功找出第" << i << "幅图的角点" << endl;
}
cout << "......一共成功获得" << sn_board << "幅图像的角点" << "......无法获得" << n_board - sn_board << "幅图像的角点" << endl;
//重新赋值
CvMat * object_points0 = cvCreateMat(board_n*sn_board, 3, CV_32FC1);
CvMat * image_points0 = cvCreateMat(board_n*sn_board, 2, CV_32FC1);
CvMat * point_counts0 = cvCreateMat(sn_board, 1, CV_32SC1);
for (int i = 0; i<sn_board*board_n; i++)
{
CV_MAT_ELEM(*image_points0, float, i, 0) = CV_MAT_ELEM(*image_points, float, i, 0);
CV_MAT_ELEM(*image_points0, float, i, 1) = CV_MAT_ELEM(*image_points, float, i, 1);
CV_MAT_ELEM(*object_points0, float, i, 0) = CV_MAT_ELEM(*object_points, float, i, 0);
CV_MAT_ELEM(*object_points0, float, i, 1) = CV_MAT_ELEM(*object_points, float, i, 1);
CV_MAT_ELEM(*object_points0, float, i, 2) = 0.0f;
}
for (int i = 0; i<sn_board; i++)
{
CV_MAT_ELEM(*point_counts0, int, i, 0) = CV_MAT_ELEM(*point_counts, int, i, 0);
}
cvReleaseMat(&object_points);
cvReleaseMat(&point_counts);
cvReleaseMat(&image_points);
/*摄像机标定并求得内部参数*/
CvMat * camera_matrix = cvCreateMat(3, 3, CV_32FC1);
CvMat * distortion_coeffs = cvCreateMat(1, 4, CV_32FC1);
CvMat * rotation_vectors = cvCreateMat(sn_board, 3, CV_32FC1);
CvMat * translation_vectors = cvCreateMat(sn_board, 3, CV_32FC1);
int flags = 0;

cvCalibrateCamera2(object_points0, image_points0, point_counts0, image_size, camera_matrix
    //,distortion_coeffs,NULL,NULL,flags);
    , distortion_coeffs, rotation_vectors, translation_vectors, 0);
//输出结果
printf("/*****摄像机内部参数*****/n");
PrintMat(camera_matrix);
printf("/*****畸变参数k1,k2,p1,p2*****/n");
PrintMat(distortion_coeffs);
cvWaitKey(NULL);
//保存数据
cout << "......保存内部参数与畸变参数" << endl;
cvSave("camera_matrix1111.xml", camera_matrix);
cvSave("distortion_coeffs.xml", distortion_coeffs);
FILE *fp = NULL;
if ((fp = fopen("F:\PPDownload\mabian\QQ.mp4\camera_matrix.txt", "w")) == NULL)
{
    printf("无法打开文件！");
    exit(1);
}
FputMat(fp, camera_matrix);
fclose(fp);
if ((fp = fopen("F:\PPDownload\mabian\QQ.mp4\distortion_coeffs.txt", "w")) == NULL)
{
    printf("无法打开文件！");
    exit(1);
}
FputMat(fp, distortion_coeffs);
fclose(fp);
//误差分析
CvMat * object_points2 = cvCreateMat(board_n, 3, CV_32FC1);
CvMat * image_points2 = cvCreateMat(board_n, 2, CV_32FC1);
CvMat * rotation_vectors2 = cvCreateMat(1, 3, CV_32FC1);
CvMat * translation_vectors2 = cvCreateMat(1, 3, CV_32FC1);
CvMat * Err = cvCreateMat(sn_board*board_n, 2, CV_32FC1);
for (int k = 0; k<sn_board; k++)
{
    for (int i = 0; i<board_n; i++)//取一幅图的数据
    {
        CV_MAT_ELEM(*object_points2, float, i, 0) = CV_MAT_ELEM(*object_points0, float, k*board_n + i, 0);
        CV_MAT_ELEM(*object_points2, float, i, 1) = CV_MAT_ELEM(*object_points0, float, k*board_n + i, 1);
        CV_MAT_ELEM(*object_points2, float, i, 2) = 0.0f;
    }
    for (int i = 0; i<3; i++)
    {
        CV_MAT_ELEM(*rotation_vectors2, float, 0, i) = CV_MAT_ELEM(*rotation_vectors, float, k, i);
        CV_MAT_ELEM(*translation_vectors2, float, 0, i) = CV_MAT_ELEM(*translation_vectors, float, k, i);
    }
    cvProjectPoints2(object_points2, rotation_vectors2, translation_vectors2, camera_matrix,
        distortion_coeffs, image_points2);
    for (int i = 0; i<board_n; i++)
    {
        CV_MAT_ELEM(*Err, float, k*board_n + i, 0) = CV_MAT_ELEM(*image_points0, float, k*board_n + i, 0) - CV_MAT_ELEM(*image_points2, float, i, 0);
        CV_MAT_ELEM(*Err, float, k*board_n + i, 1) = CV_MAT_ELEM(*image_points0, float, k*board_n + i, 1) - CV_MAT_ELEM(*image_points2, float, i, 1);
    }
}
//PrintMat(Err);
CvMat * Err_abs = cvCreateMat(board_n*sn_board, 2, CV_32FC1);
cvAbs(Err, Err_abs);
CvScalar Dmean;
CvScalar Ddev;
cvAvgSdv(Err_abs, &Dmean, &Ddev);
printf("/*****反投影误差分析*****/n");
cout << "......绝对值误差矩阵的平均值：" << endl;
cout << Dmean.val[0] << endl;
cout << "......绝对值误差矩阵的标准差：" << endl;
cout << Ddev.val[0] << endl;
cout << "......保存误差矩阵" << endl;
cvSave("err.xml", Err);
if ((fp = fopen("F:\PPDownload\mabian\QQ.mp4\mycalib_0\err.txt", "w")) == NULL)
{
    printf("无法打开文件！");
    exit(1);
}
FputMat(fp, Err);
fclose(fp);

cvReleaseMat(&object_points2);
cvReleaseMat(&image_points2);
cvReleaseMat(&rotation_vectors2);
cvReleaseMat(&translation_vectors2);
cvReleaseMat(&Err);
cvReleaseMat(&Err_abs);
//释放总变量
cvWaitKey(NULL);
cvReleaseMat(&object_points0);
cvReleaseMat(&point_counts0);
cvReleaseMat(&image_points0);
cvReleaseMat(&camera_matrix);
cvReleaseMat(&distortion_coeffs);
cvReleaseMat(&rotation_vectors);
cvReleaseMat(&translation_vectors);
delete[] corners;
cvDestroyWindow("MyCalib");

}
void PrintMat(CvMat* arry)
{
for (int i = 0; irows; i++)
{
for (int j = 0; jcols; j++)
{
printf("%f", CV_MAT_ELEM(*arry, float, i, j));
if (jcols - 1)
printf(",");
}
printf("n");
}
}
void FputMat(FILE * fp, CvMat * arry)
{
for (int i = 0; irows; i++)
{
for (int j = 0; jcols; j++)
{
fprintf(fp, "%f", CV_MAT_ELEM(*arry, float, i, j));
if (jcols - 1)
fprintf(fp, ",");
}
fprintf(fp, "n");
}

这是代码~求大神帮忙改正！急，在线等！

解决方案三：

你这代码在哪复制来的...错误太多，“有未处理的异常”就是说代码有问题呀，根本编译不过的

解决方案四：

没学过C++语言，我们小学期临时做的项目，这段代码是从网上找的，求给新代码！我可以把剩下的悬赏金都给你

解决方案五：

“有未处理的异常”就是说代码有问题，找到指出处理即可

解决方案六：

“有未处理的异常”就是说代码有问题，找到指出处理即可