Image-based BRDF measurement including human skin

Authors:
Stephen R. Marschner;Stephen H. Westin;Eric P. F. Lafortune;Kenneth E. Torrance;Donald P. Greenberg
Affiliations:
Microsoft Research, One Microsoft Way, Redmond, WA;Program of Computer Graphics, Cornell University;Program of Computer Graphics, Cornell University;Program of Computer Graphics, Cornell University;Program of Computer Graphics, Cornell University
Venue:
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
Year:
1999

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Abstract

We present a new image-based process for measuring the bidirectional reflectance of homogeneous surfaces rapidly, completely, and accurately. For simple sample shapes (spheres and cylinders) the method requires only a digital camera and a stable light source. Adding a 3D scanner allows a wide class of curved near-convex objects to be measured. With measurements for a variety of materials from paints to human skin, we demonstrate the new method's ability to achieve high resolution and accuracy over a large domain of illumination and reflection directions. We verify our measurements by tests of internal consistency and by comparison against measurements made using a gonioreflectometer.