camera-calibration

问题 I am new in OpenCV, and could not find normal tutorial for stereoCalibration on Python. If you have some samples, please share. I do single calibration for each of cameras, and i have next problem. The left one: The right one: PS: I'm doing Depth-map and by the metter of it, i received bad map. UPDATE: I have ported the C++ version from https://github.com/jayrambhia/Vision/blob/master/OpenCV/C%2B%2B/stereocalibrate.cpp Yeah, it has no error but it return only fully black images Ported cod:

问题 I have captured an image using a webcam, attached upside-down above a table horizontally. On the table, I have a square object or piece of card. I have successfully detected the object and found its center coordinates (centroid). Now I want to find the rotation angle of the object with respect to the image. Considering everything in the 2D image plane. How can I calculate the angle? This image represents what I trying to achieve: 回答1: I got the Solution . I write the code to perform the

来源： https://stackoverflow.com/questions/20468944/opencv-computing-fundamental-matrix-from-r-and-t

来源： https://stackoverflow.com/questions/57161974/python-opencv-detecting-chessboard

问题 My goal: I am trying to get the TruthDepth camera parameters (such as the intrinsic, extrinsic, lens distortion etc) for the TruthDepth camera while I am doing the face tracking. I read that there is examples and possible to that with OpenCV. I am just wondering should one achieve similar goals in Swift. What I have read and tried: I read that the apple documentation about ARCamera: intrinsics and AVCameraCalibrationData: extrinsicMatrix and intrinsicMatrix. However, all I found was just the

问题 My goal: I am trying to get the TruthDepth camera parameters (such as the intrinsic, extrinsic, lens distortion etc) for the TruthDepth camera while I am doing the face tracking. I read that there is examples and possible to that with OpenCV. I am just wondering should one achieve similar goals in Swift. What I have read and tried: I read that the apple documentation about ARCamera: intrinsics and AVCameraCalibrationData: extrinsicMatrix and intrinsicMatrix. However, all I found was just the

问题 In the hope for a broader audience, I repost my question here which I asked on answers.opencv.org as well. TL;DR : What relation should hold between the arguments passed to undistortPoints , findEssentialMat and recoverPose ? I have code like the following in my program, with K and dist_coefficients being camera intrinsics and imgpts. matching feature points from 2 images. Mat mask; // inlier mask undistortPoints(imgpts1, imgpts1, K, dist_coefficients, noArray(), K); undistortPoints(imgpts2,

问题 I tried determining camera motion from fundamental matrix using opencv. I'm currently using optical flow to track movement of points in every other frame. Essential matrix is being derived from fundamental matrix and camera matrix. My algorithm is as follows 1 . Use goodfeaturestotrack function to detect feature points from frame. 2 . Track the points to next two or three frames(Lk optical flow), during which calculate translation and rotation vectorsusing corresponding points 3 . Refresh

问题 I'm trying to do calibration of Kinect camera and external camera, with Emgu/OpenCV. I'm stuck and I would really appreciate any help. I've choose do this via fundamental matrix, i.e. epipolar geometry. But the result is not as I've expected. Result images are black, or have no sense at all. Mapx and mapy points are usually all equal to infinite or - infinite, or all equals to 0.00, and rarely have regular values. This is how I tried to do rectification: 1.) Find image points get two arrays

问题 Here is my code to project Velodyne points into the images: cam = 2; frame = 20; % compute projection matrix velodyne->image plane R_cam_to_rect = eye(4); [P, Tr_velo_to_cam, R] = readCalibration('D:/Shared/training/calib/',frame,cam) R_cam_to_rect(1:3,1:3) = R; P_velo_to_img = P*R_cam_to_rect*Tr_velo_to_cam; % load and display image img = imread(sprintf('D:/Shared/training/image_2/%06d.png',frame)); fig = figure('Position',[20 100 size(img,2) size(img,1)]); axes('Position',[0 0 1 1]); imshow