JanghunHyeon/PCLoc
Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)
This project helps autonomous robots and augmented/mixed reality systems accurately pinpoint their location within complex indoor environments. It takes a query image of a space and a database of images from that space, then provides a highly precise estimate of the camera's 3D position and orientation. This tool is for engineers or researchers developing robust visual localization capabilities for indoor navigation and AR applications.
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Use this if you need to achieve highly accurate 3D pose estimation for visual localization in large-scale indoor settings, especially when dealing with sparse image databases.
Not ideal if your application requires outdoor localization or if you do not have a pre-existing image database of the indoor environment.
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Language
Python
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Last pushed
Jun 27, 2023
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