使用 opencv 3.0 beta 校准鱼眼镜头

Question

我想用这个代码校准鱼眼镜头：

bool found = findChessboardCorners( view, s.boardSize, pointBuf, CALIB_CB_ADAPTIVE_THRESH | CALIB_CB_FAST_CHECK | CALIB_CB_NORMALIZE_IMAGE);
vector<vector<Point2f> > imagePoints;
imagePoints.push_back(pointBuf);
Mat cameraMatrix, distCoeffs;
vector<Mat> rvecs, tvecs;
vector<float> reprojErrs;
vector<vector<Point3f> > objectPoints(1);
s.flag = fisheye::CALIB_RECOMPUTE_EXTRINSIC|fisheye::CALIB_FIX_SKEW|fisheye::CALIB_FIX_K1;
calcBoardCornerPositions(s.boardSize, s.squareSize, objectPoints[0], s.calibrationPattern);
double rms = fisheye::calibrate(objectPoints, imagePoints, view.size(), cameraMatrix, distCoeffs, rvecs, tvecs, s.flag);

我没问题找到棋盘，但我在校准过程中出现断言错误：

Assertion failed ((flags & FIXED_TYPE) != 0) in cv::_InputArray::type, file ......\sources\modules\core\src\matrix.cpp, line 1792

所以我尝试像这样初始化rvecs：

for(int i = 0 ; i < imagePoints.size() ; ++i)
{
    rvecs.push_back(Mat::zeros(3, 3, CV_64FC3));
}

但是有了这个我得到了另一个断言：

OpenCV Error: Assertion failed (0 <= i && i < (int)v.size()) in cv::_InputArray::getMat, file ......\sources\modules\core\src\matrix.cpp, line 1170

如何声明和初始化rvecs和tvecs？

Answer 1

您应该尝试以下操作：

std::vector<std::vector<cv::Point2d> > imagePoints(n_images);
std::vector<std::vector<cv::Point3d> > objectPoints(n_images);

//...

cv::Matx33d K;
cv::Vec4d D;
std::vector<cv::Vec3d> rvec;
std::vector<cv::Vec3d> tvec;

cv::fisheye::calibrate(
     objectPoints, imagePoints, imageSize, 
     K, D, rvec, tvec, flag, 
     cv::TermCriteria(3, 20, 1e-6)
);

参见此处示例：https://github.com/Itseez/opencv/blob/6df1198e8b1ea4925cbce943a1dc6549f27d8be2/modules/calib3d/test/test_fisheye.cpp

使用 opencv 3.0 beta 校准鱼眼镜头

Fisheye lens calibration with opencv 3.0 beta

c++

opencv

fisheye

opencv3.0