We propose a practical method to measure spectral skin
reflectance as well as a spectral BSSRDF model spanning
a wide spectral range from 300nm to 1000nm. We employ a
practical capture setup consisting of desktop monitors to il-
luminate human faces in the visible domain to estimate five
parameters of spectral chromophore concentrations includ-
ing melanin, hemoglobin, and β carotene concentration,
melanin blend-type fraction, and epidermal hemoglobin
fraction. The estimated parameters make use of a novel
three-stage lookup table search for faster parameter fitting,
and drive our skin model for accurate reconstruction of
facial skin reflectance response in both the visible domain
as well as in the UVA and near-infrared range. We also
propose a novel neural network architecture that given our
measurements, predicts the five chromophore parameters
of our model at the encoder stage and full hyperspectral
reflectance response as the output of the decoder stage.