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ECCV
2010
Springer

Blind Reflectometry

4 years 4 months ago
Blind Reflectometry
We address the problem of inferring homogeneous reflectance (BRDF) from a single image of a known shape in an unknown real-world lighting environment. With appropriate representations of lighting and reflectance, the image provides bilinear constraints on the two signals, and our task is to blindly isolate the latter. We achieve this by leveraging the statistics of real-world illumination and estimating the reflectance that is most likely under a distribution of probable illumination environments. Experimental results with a variety of real and synthetic images suggest that useable reflectance information can be inferred in many cases, and that these estimates are stable under changes in lighting.
Added 02 Aug 2010
Updated 02 Aug 2010
Type Conference
Year 2010
Where ECCV
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