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I'm trying to calibrate a camera against what i believe to be radial distortion. With openCV the method used is calibrateCamera (link). Which usually requires you to use a chessboard pattern in order to identify the actual points and automatically calculate where they should be. I have manually constructed 6 pairs of these points.
My question is how do we achieve this using rust-cv? It is implemented? I've found something similar in the dlt crate but the output is a 4x3 matrix and i can't really make sense of it. (More details on what i've tried be found here)
Any help in deeply appreciated.
Disclaimer: I've been reading for about 2 days and decided to open an issue to you guys , maybe it will also be useful for someone else who's looking for this in the future.
The text was updated successfully, but these errors were encountered:
dlt author here. The main function returns a 3x4 matrix as you can see in the docs. dlt does not try to estimate radial distortion. There are various implementations of such around. One is my opencv-calibrate crate which is not (yet) published to crates.io but you are welcome to use, of course.
(I had this stuff written before I was aware of the rust-cv org and keep it maintained but really should integrate with rust-cv, improving it as necessary.)
@astraw Thanks! I was looking to build everything without relying on openCV at all, just using rust-cv which as i saw has no dependencies related to opencv. Thanks again!
Hi,
I'm trying to calibrate a camera against what i believe to be radial distortion. With openCV the method used is
calibrateCamera
(link). Which usually requires you to use a chessboard pattern in order to identify the actual points and automatically calculate where they should be. I have manually constructed 6 pairs of these points.My question is how do we achieve this using rust-cv? It is implemented? I've found something similar in the
dlt
crate but the output is a 4x3 matrix and i can't really make sense of it. (More details on what i've tried be found here)Any help in deeply appreciated.
Disclaimer: I've been reading for about 2 days and decided to open an issue to you guys , maybe it will also be useful for someone else who's looking for this in the future.
The text was updated successfully, but these errors were encountered: