nianticlabs/ace
[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses
This project helps roboticists and augmented reality (AR) developers quickly teach a computer vision system to understand its precise location within a new environment. By inputting RGB images and their corresponding camera poses (locations and orientations), it generates a compact 'scene map' that enables fast and accurate re-localization. This tool is for professionals building navigation systems for robots or immersive AR experiences.
428 stars. No commits in the last 6 months.
Use this if you need to rapidly train a highly accurate system to pinpoint its position and orientation in a previously mapped area using camera images.
Not ideal if you don't have existing camera pose data for your environment or if your primary need is general object recognition rather than precise spatial localization.
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43
Language
Python
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Last pushed
Jan 29, 2024
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