Inferring Reflectance under Real-world Illumination

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Inferring Reflectance under Real-world Illumination

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Title: Inferring Reflectance under Real-world Illumination
Author: Romeiro, Fabiano; Zickler, Todd

Note: Order does not necessarily reflect citation order of authors.

Citation: Romeiro, Fabiano and Todd Zickler. 2010. Inferring Reflectance under Real-world Illumination. Harvard Computer Science Group Technical Report TR-10-10.
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Abstract: 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 suggest that useable reflectance information can be often be inferred, and that these estimates are stable under changes in lighting.
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Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:24947961
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