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The accuracy of depth maps can be greatly improved by calibrating all the intrinsic and extrinsic parameters, along with non-linearity correction as a single problem.
Here is the accuracy of an out-of-the-box D435 compared to the results after optimisation:
The original quadratic error becomes almost linear in the depth, an order of magnitude better at 2.5 metres.
The VS2017 solution is open-sourced, Apache 2.0 on GitHub https://github.com/smirkingman/RealSense-Calibrator https://github.com/smirkingman/RealSense-Calibrator.
As I own only a pair of D435s, I would be very grateful if those with other cameras could let me know if they achieve similar results.
Thanks,
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Looks great! Thanks so much for your hard work.
Could you post this on the RealSense GitHub too please so the RealSense developers and engineers there can evaluate it?
https://github.com/IntelRealSense/librealsense/issues Issues · IntelRealSense/librealsense · GitHub
You may also like to consider submitting a 'pull request' for your project to be integrated into the SDK. This is optional but would be welcomed.
https://github.com/IntelRealSense/librealsense/blob/master/CONTRIBUTING.md librealsense/CONTRIBUTING.md at master · IntelRealSense/librealsense · GitHub
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Hi Marty
I've never used GitHub and I'm floundering trying to post as you suggest, 'Authorise mabako' is greyed out:
Could you possibly contact me privately, to avoid spamming the forum with my ineptness please?
Alternatively, is there a kind GitHub wizard who could post for me?
Thanks
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