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Research Abstracts - 2006
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Acquisition of Hair Reflectance and Geometry

Sylvain Paris, Matthias Zwicker, Wojciech Matusik & Frédo Durand

Human hair is one of the big challenges of image synthesis because of its geometric and photometric complexity. The problem becomes even harder when one wants to reproduce faithfully the hairstyle of a given person, because traditional 3D scanners usually fail with objects that do not correspond to a well-defined surface of Lambertian material. In addition, hair exhibits unique visual characteristics due to the complex interaction between the fibers and the light. Hair reflection is highly anisotropic and mixes several color components. Being able to produce an accurate digital model of a hairstyle is a challenging task that would result in valuable applications, for example in game and movie industry.

This work is still at a preliminary stage. We want to build upon the recent work on hair reflectance [1] and reconstruction [2,3]. With a better control of the light environment, we expect to improve significantly the state of the art of the domain.

We are collaborating with Wojciech Matusik from MERL and Matthias Zwicker who was a post-doc in the Computer Graphics Group and is now an Assistant Professor in the University of California, San Diego.

References:

[1] Stephen R. Marschner, Henrik Wann Jensen, Mike Cammarano, Steve Worley, and Pat Hanrahan. Light Scattering from Human Hair Fibers. In ACM Transactions on Graphics (Proceedings of the ACM SIGGRAPH conference), 2003.

[2] Sylvain Paris, Hector Briceño, and François Sillion. Capture of Hair Geometry from Multiple Images. In ACM Transactions on Graphics (Proceedings of the ACM SIGGRAPH conference), 2004.

[3] Yichen Wei, Eyal Ofek, Long Quan, and Heung-Yeung Shum. Modeling hair from multiple views. In ACM Transactions on Graphics (Proceedings of the ACM SIGGRAPH conference), 2005.

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