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would this help?
Sort of unrelated to open3d, but if the goal is to classify or cluster 3D files based on visual features, I’d recommend a panoramic or spherical projection using a “camera” that measures depth, curvature, thickness, and/or something similar per color channel. Each individual image just estimates the views from a group of cylinders, as the group of cylinders estimates a spherical view (but in practice you may need multiple spherical views due to warping to get it 2D). One example with both images and some code for view generation is here: https://github.com/Alexander-Berman/ThingiPano
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