A deep network that predicts per-pixel surface frames in two coordinate systems and solves a weighted least-squares alignment to recover camera orientation, improving accuracy by 20-30% over prior methods.
Learning less is more- 6d camera localization via 3d surface regression
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UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
A deep network that predicts per-pixel surface frames in two coordinate systems and solves a weighted least-squares alignment to recover camera orientation, improving accuracy by 20-30% over prior methods.