cvg/glace

[CVPR 2024] GLACE: Global Local Accelerated Coordinate Encoding

30
/ 100
Emerging

For robotics engineers or AR/VR developers, this project helps precisely determine a camera's position and orientation (its "pose") within a known 3D environment using a single image. You provide images of a location and get back highly accurate camera poses, enabling reliable spatial awareness for applications like robot navigation or augmented reality overlays. It's designed for professionals working with visual localization in specific, pre-mapped scenes.

105 stars. No commits in the last 6 months.

Use this if you need to determine the exact 3D location and orientation of a camera within a particular environment using images, achieving highly precise results for tasks like robot navigation or augmented reality.

Not ideal if you need to localize a camera in an entirely new or unknown environment without prior training data for that specific scene, or if your application doesn't require high pose accuracy.

robot-localization augmented-reality computer-vision 3d-reconstruction camera-tracking
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

105

Forks

3

Language

Python

License

Last pushed

Mar 31, 2025

Commits (30d)

0

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