Measurement-based synthesis of facial microgeometry

  • Authors:
  • Paul Graham;Borom Tunwattanapong;Jay Busch;Xueming Yu;Andrew Jones;Paul Debevec;Abhijeet Ghosh

  • Affiliations:
  • USC Institute for Creative Technologies;USC Institute for Creative Technologies;USC Institute for Creative Technologies;USC Institute for Creative Technologies;USC Institute for Creative Technologies;USC Institute for Creative Technologies;USC Institute for Creative Technologies

  • Venue:
  • ACM SIGGRAPH 2012 Posters
  • Year:
  • 2012
  • Image analogies

    Proceedings of the 28th annual conference on Computer graphics and interactive techniques

Quantified Score

Hi-index 0.00

Visualization

Abstract

Current scanning techniques record facial mesostructure with sub-millimeter precision showing pores, wrinkles, and creases. However, surface roughness continues to shape specular reflection at the level of microstructure: micron scale structures. Here, we present an approach to increase the resolution of mesostructure-level facial scans using microstructure examples digitized about the face. We digitize the skin patches using polarized gradient illumination and 10 μm resolution macro photography, and observe point-source reflectance measurements to characterize the specular reflectance lobe at this smaller scale. We then perform constrained texture synthesis to create appropriate surface microstructure per facial region, blending the regions to cover the whole entire face. We show that renderings of microstructure-augmented facial models preserve the original scanned mesostructure and exhibit surface reflections which are qualitatively more consistent with real photographs.