Comments (1)
Hi @AmirShahid,
We appreciate your interest. Generally, to estimate the intrinsic camera parameters, you can use a chessboard pattern and the tutorials provided by OpenCV (as you might have already seen). Here are some references:
- https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html
- https://learnopencv.com/camera-calibration-using-opencv/
Since we needed both intrinsic and extrinsic camera parameters, we printed a calibration object with known dimensions for the estimation, as you can see in the image.
With the BlobDetector and calibrateCamera functions of OpenCV, both intrinsic and extrinsic parameters were estimated simultaneously with sufficient accuracy. Note that you can define a world frame arbitrarily with this method.
I hope this will help you, and if you have further questions, let me know.
Best,
Paul
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