nianticlabs/airplanes
[CVPR 2024] AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
This project helps roboticists and augmented reality developers accurately map 3D environments. By taking a series of RGB images from a scene, it can identify and precisely locate all the flat surfaces, like walls and floors, within that scene. This results in a detailed 3D representation where each planar surface is clearly defined, useful for tasks like robot navigation or virtual object placement.
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Use this if you need to extract highly accurate 3D planar information from a collection of posed RGB images of an indoor or structured environment.
Not ideal if your primary goal is general object recognition or if you only have single, un-posed images of a scene.
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Python
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Last pushed
Jun 14, 2024
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