ZhileiChen99/UTOPIC
Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
This project helps align two incomplete 3D scans of the same object, even when they only partially overlap. You input two partial 3D point clouds, and it accurately merges them into a single, combined 3D representation. This is ideal for professionals in fields like 3D scanning, reverse engineering, or cultural heritage preservation who need to reconstruct complete objects from fragmented scan data.
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Use this if you need to precisely align and combine partial 3D scans of an object, especially when the overlapping areas are small or uncertain.
Not ideal if you are working with complete 3D models or if your primary need is for object recognition rather than geometric alignment.
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31
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2
Language
Python
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Last pushed
Jan 31, 2023
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