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Acquiring the Reflectance Field of a Human Face

Paul Debevec, Tim Hawkins, Chris Tchou, Haarm-Pieter Duiker, Westley Sarokin, Mark Sagar

SIGGRAPHAcademic41 descendantsFacial

Light stage system capturing the full reflectance field of a human face enabling relighting with arbitrary illumination for photoreal CG faces.

Abstract

This paper presents a method to acquire the reflectance field of a human face using a light stage, capturing face images from multiple viewpoints under dense sampling of incident illumination directions. Reflectance functions are constructed for each pixel, enabling photorealistic re-rendering of the face under arbitrary novel lighting. The authors develop techniques to extrapolate the reflectance field to novel viewpoints using a skin reflectance model that separates specular and subsurface components, accounting for effects like shadows and interreflections.

How to read this

Category
Capture system: face reflectance acquisition for relighting
Contributions
  • A light stage that captures a face under dense sampling of incident illumination directions from multiple viewpoints
  • Per-pixel reflectance functions that allow photorealistic re-rendering under arbitrary novel lighting
  • A skin reflectance model separating specular and subsurface components to extrapolate the field to novel viewpoints
Context
Foundational photoreal-face capture work; relates to image-based rendering and reflectance modeling, treating a face as a measured reflectance field rather than a hand-built shading model.
Correctness
Demonstrated on captured human faces with the stated specular/subsurface separation; reading caveat is that viewpoint extrapolation and effects like shadows and interreflections rely on the chosen reflectance model, so accuracy away from sampled views and lighting depends on how well that model holds.
Clarity
Accessible at a conceptual level; a first pass conveys the light-stage idea, do a second pass for the reflectance-function construction and the skin model.
How to read it
Focus first on what is measured (reflectance field) versus what is modeled (specular/subsurface split); a second pass pays off if you care about how relighting and novel-view rendering are actually computed.

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