UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images

Fisher Matthew
Fisher Matthew
Eisenmann Jonathan
Eisenmann Jonathan
Cited by: 5|Bibtex|Views55|Links

Abstract:

We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene. Unlike recent methods that leverage deep learning to perform black-box regression from image to orientation parameters, we propose an end-to-end framework that incorporates explicit geometric reasoning. I...More

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