CHECKERBOARD = (6,9) objp = np.zeros((1,CHECKERBOARD[0]*CHECKERBOARD[1],3), np.float32) objp[0,:,:2] = np.meshgrid[0:CHECKERBOARD[0], 0:CHECKERBOARD[1]].T.transpose(-1,2) 1. 2. 3. 可跳过的部分: 这里的代码比较难理解,我来讲解一下,其实差不多知道是啥就可以了,不用非得搞懂:...
draws the checkerboard pattern (found or partly found) in the image CV_EXPORTS_W void drawChessboardCorners( InputOutputArray image, Size patternSize, InputArray corners, bool patternWasFound ); 1. 2. 3. 第一个参数image,8位灰度或者彩色图像; 第二个参数patternSize,每张标定棋盘上内角点的行列数;...
Mat frameCalibration; inputVideo >> frame; Mat cameraMatrix = Mat::eye(3,3, CV_64F); cameraMatrix.at<double>(0,0) =4.450537506243416e+02; cameraMatrix.at<double>(0,1) =0.192095145445498; cameraMatrix.at<double>(0,2) =3.271489590204837e+02; cameraMatrix.at<double>(1,1) =4.4736906283944...
Mat frame, frameCalibration; inputVideo >> frame; Mat cameraMatrix = Mat::eye(3, 3, CV_64F); cameraMatrix.at<double>(0,0) = 1982.56844306278; cameraMatrix.at<double>(0,1) = 1.79099355543064; cameraMatrix.at<double>(0,2) = 1042.90384922068; cameraMatrix.at<double>(1,1) = 1983.8444559...
//! draws the checkerboard pattern (found or partly found) in the image CV_EXPORTS_W void drawChessboardCorners( InputOutputArray image, Size patternSize, InputArray corners, bool patternWasFound ); 第一个参数image,8位灰度或者彩色图像;
OpenCV3.0 alpha在8月21日发布,其中增加了鱼眼镜头模型,提供了标定、去畸变等一系列api,其实现方法参考了{Camera Calibration Toolbox for Matlab}。本文简单介绍了OpenCV 中实现的鱼眼镜头模型,给出调用demo的关键代码、注释和去畸变的结果。 鱼眼镜头模型
std_cb=Vision::makeCheckerboard(1280,490,10,7,0,(char*)"../blizzard/res/calibration/std_cb.png"); 效果如图 Vision是我个人创建的视觉类,可以用来绘制标准的棋盘格。 头文件vision.h 代码语言:javascript 复制 /// Created by czh on 18-10-16.//#ifndefOPENGL_PRO_VISION_H#defineOPENGL_PRO_VISIO...
I'm recently using the MatlabSingle Camera Calibration Appalgorithm to calibrate the camera intrinsics and extrinsics. On finding corners of the chessboard, many timesdetectCheckerboardPointsfunction of Matlab out performs (accuracy) the opencv apicv::findChessboardCorners, yet on some pictures, Matlab...
If your calibration board is inaccurate, unmeasured, roughly planar targets (Checkerboard patterns on paper using off-the-shelf printers are the most convenient calibration targets and most of them are not accurate enough.), a method fromstrobl2011iccv can be utilized to dramatically improve the ac...
importcv2assertcv2.__version__[0]=='3','The fisheye module requires opencv version >= 3.0.0'importnumpyasnpimportosimportglobCHECKERBOARD=(6,9)subpix_criteria=(cv2.TERM_CRITERIA_EPS+cv2.TERM_CRITERIA_MAX_ITER,30,0.1)calibration_flags=cv2.fisheye.CALIB_RECOMPUTE_EXTRINSIC+cv2.fisheye.CALIB_CH...