MegEngine/OMNet
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration, ICCV 2021, MegEngine implementation.
This project helps engineers and researchers accurately align 3D scan data, specifically when only partial views of an object are available. It takes two incomplete 3D point cloud scans of the same object and outputs a precise transformation that aligns them. This is useful for anyone working with 3D scanning and reconstruction in fields like robotics, industrial inspection, or augmented reality.
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Use this if you need to align two incomplete 3D point cloud scans of an object and want to find their precise overlapping positions.
Not ideal if you are working with complete 3D models or need to align other forms of 3D data like meshes or volumetric grids.
Stars
41
Forks
4
Language
Python
License
MIT
Category
Last pushed
Feb 06, 2022
Commits (30d)
0
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