A Data-Driven Reflectance Model

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A Data-Driven Reflectance Model

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dc.contributor.author Matusik, Wojciech
dc.contributor.author Pfister, Hanspeter
dc.contributor.author Brand, Matt
dc.contributor.author McMillan, Leonard
dc.date.accessioned 2010-05-26T13:52:16Z
dc.date.issued 2003
dc.identifier.citation Matusik, Wojciech, Hanspeter Pfister, Matt Brand, and Leonard McMillan. 2003. A data-driven reflectance model. In Proceedings International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2003 Papers: July 27-31, 2003, San Diego, California, 759-769. New York, N.Y.: ACM Press. Also published in ACM Transactions on Graphics 22(3): 759-769. en_US
dc.identifier.isbn 1-58113-709-5 en_US
dc.identifier.issn 0730-0301 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:4135447
dc.description.abstract We present a generative model for isotropic bidirectional reflectance distribution functions (BRDFs) based on acquired reflectance data. Instead of using analytical reflectance models, we represent each BRDF as a dense set of measurements. This allows us to interpolate and extrapolate in the space of acquired BRDFs to create new BRDFs. We treat each acquired BRDF as a single high-dimensional vector taken from a space of all possible BRDFs. We apply both linear (subspace) and non-linear (manifold) dimensionality reduction tools in an effort to discover a lower-dimensional representation that characterizes our measurements. We let users define perceptually meaningful parametrization directions to navigate in the reduced-dimension BRDF space. On the low-dimensional manifold, movement along these directions produces novel but valid BRDFs. en_US
dc.description.sponsorship Engineering and Applied Sciences en_US
dc.language.iso en_US en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.isversionof doi:10.1145/882262.882343 en_US
dc.relation.isversionof doi:10.1145/1201775.882343 en_US
dc.relation.hasversion http://gvi.seas.harvard.edu/sites/all/files/SIG2003_0.pdf en_US
dash.license LAA
dc.subject BRDF en_US
dc.subject image-based modeling en_US
dc.subject light reflection models en_US
dc.subject photometric measurements en_US
dc.subject reflectance en_US
dc.title A Data-Driven Reflectance Model en_US
dc.type Conference Paper en_US
dc.description.version Accepted Manuscript en_US
dc.relation.journal ACM Transactions on Graphics en_US
dash.depositing.author Pfister, Hanspeter
dc.date.available 2010-05-26T13:52:16Z

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  • FAS Scholarly Articles [6902]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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