Skip to main content
4 votes

Camera Calibration - why do you have to move the calibration board?

This is due to the optimization problem being rather high-dimensional (around 11 parameters). With only a single observation of the calibration board, there would be multiple possible combinations of ...
Jakob's user avatar
  • 156
2 votes
Accepted

Pinhole camera model from houdini parameters

This is a long topic to fully explain. I will try to write shortly, so please excuse the brevity. Standard computer vision projection (ignoring distortion like Houdini) follows: $$ \mathbf{x} = \...
Tolga Birdal's user avatar
  • 5,465
2 votes

Calibration using Camera Calibration Toolbox for Matlab vs OpenCV

Depending on the lens-distortion model used, the achievable accuracy can be significantly different: https://discorpy.readthedocs.io/en/latest/tutorials/methods.html Have a go with another approach ...
entropi99's user avatar
2 votes

Fixing distortion in photographic reproductions

I answered a related question in SO some time ago. Briefly, you can work your setup through a standard camera calibration procedure, and you have the option of "freezing" the focal length to ...
Francesco Callari's user avatar
2 votes

Camera sensor artifacts next to edges in calibration images; what is causing these?

Probably not a definitive answer, but as close to one as I can get after various tests: It is not exposure. Over-exposure/saturation only makes the problem more easily visible. Though hard to see, ...
sg65's user avatar
  • 41
2 votes
Accepted

What are the parameters of a calibrated spherical camera?

...if we have a pinhole camera model several parameters describe the specific camera (such as aspect-ratio, focal length, principal point, distortion parameters etc). "Distortion parameters" does not ...
A_A's user avatar
  • 10.7k
1 vote

Camera calibration matrix, fundamental matrix and essential matrix at different image resolutions

When you reduce the image resolution, the camera calibration matrix will also change by half. The fundamental matrix will remain unchanged, but the essential matrix will change depending on the camera ...
seeker's user avatar
  • 11
1 vote

Camera sensor artifacts next to edges in calibration images; what is causing these?

The problem might be linked with the camera model. Here, I am using a basler daA2500-14uc with the same image sensor (MT9P031). The edge ringing looks very similar to yours: The ringing occurs only ...
anotherwingover's user avatar
1 vote
Accepted

Projection Matrix -- where does it come from?

Theoretically, the intrinsic parameters of the camera, i. e. things like the focal length, the principal point, and the lens distortion parameters should not change, and thus can be estimated once. ...
Dima's user avatar
  • 5,101
1 vote
Accepted

Fixing distortion in photographic reproductions

In a general setting, multiple observations of a calibration target are needed because otherwise the focal length parameter(s) and principle point parameters are coupled so you would not be able to ...
Jakob's user avatar
  • 156
1 vote

3D-to-3D pose estimation

Found a similar solution from the website below. basically similar to what @lutz is suggesting. Remove translation component and solve for rotation in a least sqaure fashion, then compute translation ....
Ahmed's user avatar
  • 11
1 vote
Accepted

How to apply rotation to extrinsic and intrinsic camera parameters post-calibration?

I managed to figure it out. In addition to altering the intrinsic matrix, I also had to apply a 3D rotation around the z axis, in camera space. (since z is the forward pointing axis) So I just altered ...
mhudnell's user avatar
1 vote

Camera calibration using checkerboard instead of 3D calibration object

Now with a checkboard given one image, I obtain the internal camera matrix and external kamera matrix. No, you don't. You get a single coordinate transformation matrix that contains only the ratio ...
Rainer P.'s user avatar
  • 531
1 vote

Understanding legacy code: Algorithm to remove radial lens distortion

Welcome to SP. I happen to have already answered your question in SO: see point 2 of my answer here.
Francesco Callari's user avatar
1 vote
Accepted

Camera Pose Estimation from Vanishing Points

You can use the vanishing points to calibrate the camera. I recommend reading Chapter 8.6 of Multiple View Geometry in Computer Vision [ http://www.cambridge.org/9780521540513 ] Even better, if you ...
sergiohc101's user avatar
1 vote

Camera Calibration - why do you have to move the calibration board?

Digital cameras sample the incoming optical EM or photonic field with a fixed grid of CCD or CMOS transistors. Since the sampling grid (rectangular or perhaps hexagonal) is not angularly symmetric, ...
hotpaw2's user avatar
  • 35.5k
1 vote
Accepted

Camera and laser scanner calibration final approach questions

The solution I gave in the other answer assumed that the plane in question was fixed relative to the camera location. Thus a mapping from the 2D pixel locations to a 2D location on the plane could be ...
Cedron Dawg's user avatar
  • 7,590
1 vote
Accepted

Camera calibration and extrinsic parameters for perspective transformation

You can bypass all the OpenCV stuff, and create a custom mapping from pixel location to real world location of the form: $$ x = A_x m^2 + B_x mn + C_x n^2 + D_x m + E_x n + F_x $$ $$ y = A_y m^2 + ...
Cedron Dawg's user avatar
  • 7,590
1 vote

Camera calibration and extrinsic parameters for perspective transformation

For your application, here are the steps I would follow: Calibrate the camera and obtain the intrinsics - You have obviously done that and corrected for the distortion already. ...
Tolga Birdal's user avatar
  • 5,465
1 vote

computer vision - How to correctly calibrate my camera with a wide angle lens using openCV?

If you haven't followed this tutorial on camera calibration with OpenCV, do it. It's well explained and the code is pretty much ready to go. And if your goal is to calibrate your camera using the ...
Dark Sinus's user avatar
1 vote

Why are two cameras mounted in paralle in stereo application?

When you say cameras are parallel it only means that the center pixels are parallel. Every pixel has a different angle, and that refers to the overlapping regions you were talking about. Actually ...
Cherny's user avatar
  • 471
1 vote

the position of image plane in optical imaging

I agree with user lxg that it is a notational difference, as for the pinhole camera we always have: $$S_2 = f$$ That is not necessarily true for a camera with a lens. A pinhole camera is not the ...
Olli Niemitalo's user avatar
1 vote

How can we combine 2D image with 3D image for the same sense?

Formally speaking, you would like to extrinsically calibrate the laser scanner to the 2D image. I have taken the liberty to edit your question to reflect that. Here is how my initial approach would ...
Tolga Birdal's user avatar
  • 5,465
1 vote
Accepted

Which pattern (circle pattern or checkerboard pattern) should be used for automotive camera calibration (fisheye/wide webcam)?

The answer here suggests that checkerboard patterns may yield more accurate (subpixel) calibration results and be more robust. You may have edited your question because the title asks which pattern ...
hekimgil's user avatar

Only top scored, non community-wiki answers of a minimum length are eligible