camera-calibration

I'm trying to verify my camera calibration, so I'd like to rectify the calibration images. I expect that this will involve using a call to warpPerspective but I do not see an obvious function that takes the camera matrix, and the rotation and translation vectors to generate the perspective matrix for this call. Essentially I want to do the process described here (see especially the images towards the end) but starting with a known camera model and pose. Is there a straightforward function call that takes the camera intrinsic and extrinsic parameters and computes the perspective matrix for use

The quality of calibration is measured by the reprojection error (is there an alternative?), which requires a knowledge world coordinates of some 3d point(s). Is there a simple way to produce such known points? Is there a way to verify the calibration in some other way (for example, Zhang's calibration method only requires that the calibration object be planar and the geometry of the system need not to be known) You can verify the accuracy of the estimated nonlinear lens distortion parameters independently of pose. Capture images of straight edges (e.g. a plumb line, or a laser stripe on a

I am trying to calibrate a camera with a fisheye lens. I therefor used the fisheye lens module, but keep getting strange results no matter what distortion parameters I fix. This is the input image I use: https://i.imgur.com/apBuAwF.png where the red circles indicate the corners I use to calibrate my camera. This is the best I could get, output: https://imgur.com/a/XeXk5 I currently don't know by heart what the camera sensor dimensions are, but based on the focal length in pixels that is being calculated in my nitrinsic matrix, I deduce my sensor size is approximately 3.3mm (assuming my

I am trying to get a global pose estimate from an image of four fiducials with known global positions using my webcam. I have checked many stackexchange questions and a few papers and I cannot seem to get a a correct solution. The position numbers I do get out are repeatable but in no way linearly proportional to camera movement. FYI I am using C++ OpenCV 2.1. At this link is pictured my coordinate systems and the test data used below. % Input to solvePnP(): imagePoints = [ 481, 831; % [x, y] format 520, 504; 1114, 828; 1106, 507] objectPoints = [0.11, 1.15, 0; % [x, y, z] format 0.11, 1.37, 0

I can use FindChessboardCorners functions for images that less than 15 Mega pixel such like 2k x 1.5k. however when I use it on the image from DSLR, the resolution at 3700x5300, it doesn't work. I tried to use resize() to reduce the image size directly, then it works. Obviously there's some hard coded or bug in the OpenCV source code. Could you help me to figure it out, or point me to a patch for this ? I found someone posted a similar issue in 2006, here , so it looks like the problem still remains. The code I used is like found = findChessboardCorners( viewGray, boardSize, ptvec, CV_CALIB_CB