Original title: MSAR BTF Model
Authors: Havlíček, Michal
Document type: Papers
Conference/Event: Doktorandské Dny 2011, Praha (CZ), 2011-11-11 / 2011-11-25
Year: 2011
Language: eng
Abstract: The Bidirectional Texture Function (BTF) is the recent most advanced representation of material surface visual properties. BTF specifies the changes of visual appearance due to varying illumination and viewing conditions. Such a function might be represented by thousands of images of surface taken in given illumination and viewing conditions per sample of the material. Resulting BTF size, hundreds of gigabytes, excludes its direct rendering in graphical applications, accordingly some compression of these data is obviously necessary. This paper presents a novel probabilistic model based algorithm for realistic multispectral BTF texture modelling. This complex but efficient method combines several multispectral band limited spatial factors and corresponding range map to produce the required BTF texture. Proposed scheme enables very high BTF texture compression ratio and in addition may be used to reconstruct BTF space i.e. non-measured parts of the BTF space.
Keywords: BTF; data compression; texture analysis; texture synthesis; virtual reality
Project no.: CEZ:AV0Z10750506 (CEP), 387/2010, GA102/08/0593 (CEP), GA103/11/0335 (CEP)
Funding provider: CESNET, GA ČR, GA ČR
Host item entry: Doktorandské Dny 2011, ISBN 978-80-01-04907-5

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2013/RO/havlicek-msar btf model.pdf
Original record: http://hdl.handle.net/11104/0221736

Permalink: http://www.nusl.cz/ntk/nusl-155283


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers
 Record created 2013-06-13, last modified 2021-11-24


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