Human hair inverse rendering using multi-view photometric data

T Sun, G Nam, C Aliaga, C Hery, R Ramamoorthi - 2021 - diglib.eg.org
We introduce a hair inverse rendering framework to reconstruct high-fidelity 3D geometry of
human hair, as well as its reflectance, which can be readily used for photorealistic rendering
of hair. We take multi-view photometric data as input, ie, a set of images taken from various
viewpoints and different lighting conditions. Our method consists of two stages. First, we
propose a novel solution for line-based multi-view stereo that yields accurate hair geometry
from multi-view photometric data. Specifically, a per-pixel lightcode is proposed to efficiently …

[CITATION][C] Human hair inverse rendering using multi-view photometric data.(2021)

T Sun, G Nam, C Aliaga, C Hery, R Ramamoorthi - 2021
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