U-Net learns dense pixel footprint responses for subsurface scattering from phase-shifted profilometry data, supporting relighting and generalization across materials.
2013 IEEE Conference on Computer Vision and Pattern Recognition , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
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SAMOS demonstrates reliable target acquisition, programmable multi-object spectroscopy at R~2500 and R~10000, and 0.3 Å calibration accuracy after on-sky commissioning at SOAR.
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Neural Acquisition & Representation of Subsurface Scattering
U-Net learns dense pixel footprint responses for subsurface scattering from phase-shifted profilometry data, supporting relighting and generalization across materials.