yuvalH9/UMERegRobust
[ECCV 2024] UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
This project helps engineers, roboticists, and researchers accurately align 3D scans of objects or environments, even when the scans are incomplete or captured from very different angles. It takes two "point clouds" – sets of 3D data points from sensors like LiDAR – and outputs the precise movement (rotation and translation) needed to make them overlap. This tool is ideal for anyone working with 3D sensor data that needs robust and accurate alignment for tasks like mapping, object recognition, or quality control.
No commits in the last 6 months.
Use this if you need to precisely align two 3D point clouds, especially when they have large rotational differences or only partial overlap.
Not ideal if you are looking for a general-purpose 3D modeling software, as this tool is specifically for point cloud registration.
Stars
74
Forks
8
Language
Python
License
MIT
Category
Last pushed
Dec 19, 2024
Commits (30d)
0
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