Performance relighting and reflectance transformation with time-multiplexed illumination

By Andreas Wenger, A. Gardner, C. Tchou, Jonas Unger, Tim Hawkins, Paul E. Debevec. ACM Transactions on Graphics, 2005

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Reconstruction of Personalized 3D Face Rigs from Monocular Video (2016, background): “If, in addition, the face is recorded under controlled lighting, highly detailed facial appearance or skin detail models can be captured [Wenger et al. 2005; Graham et al. 2013; Klaudiny and Hilton 2012].”
Analysis of human faces using a measurement-based skin reflectance model (2006, background): “More recent efforts allow variations in lighting for static faces [Georghiades et al. 1999; Debevec et al. 2000], expressions [Hawkins et al. 2004], and realtime performances [Wenger et al. 2005].”
Single image portrait relighting (2019, methodology): “These “tracking frames” are used as input to an optical flow algorithm [Wenger et al. 2005], and the resulting flow fields from these frames are used to advect the OLAT frames in the imageset (assuming linear motion between tracking frames) to remove all but the smallest movements made by the…”
The Digital Emily project: photoreal facial modeling and animation (2009, unknown): “Detailed facial reflectance capture was performed for the age 70 maquette in USC ICT’s Light Stage 5 device [Wenger et al. 2005] from eight angles and 156 lighting directions.”