A non-learning method segments an image and gives each region its own scale and shift, fitted to a few sparse depth points, to turn relative monocular depth predictions into metric depth more accurately than a single global scaling.
Adabins: Depth estimation using adaptive bins
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Region-aware Depth Scale Adaptation with Sparse Measurements
A non-learning method segments an image and gives each region its own scale and shift, fitted to a few sparse depth points, to turn relative monocular depth predictions into metric depth more accurately than a single global scaling.