- Plot the raw range image (before the window) and confirm that the geometry looks correct relative to the original point cloud — if so, the projection is fine.
- Try reducing the overlap (e.g., 0 % or 25 %) or using a smaller window size.
- Alternatively, use a Gaussian or median filter with a limited kernel size instead of an overlapping Hann window if you only need light smoothing.
Synthetic LiDAR 3DPCD to Range image from .las input
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So im applying a Hann window to a 2d range image of .las point cloud. Current window overlapping is 50% could this result in smearing the range image? see 3d point cloud and resulting range image below, my only other thought is that my projection may still be incorrect.

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Abhipsa
vor etwa 13 Stunden
The smearing is most likely due to the Hann windowing rather than the projection itself.
When you apply a 2D Hann window with 50 % overlap on a range image, neighboring windows blend overlapping pixels, which smooths out edges and creates a “smearing” effect — especially around depth discontinuities.
To verify:
If you still see distortion even without any windowing, then the issue could be with how the LAS points are projected — for instance, the azimuth/elevation mapping or coordinate origin.
I hope this helps you.
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