Restoring Illumination and View Dependent Data from Sparse Samples

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00384216" target="_blank" >RIV/67985556:_____/12:00384216 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Restoring Illumination and View Dependent Data from Sparse Samples
Original language description
Capturing appearance of material with respect to illumination and viewing directions is crucial to achieve realistic visual experience in virtual environments. The capturing process is time demanding or requires a specific shape of the captured material.Therefore, we propose a method of such a data reconstruction from very sparse measurements, whose placement allows for continuous and fast acquisition, from which can benefit future acquisition setups. The proposed approach was tested on a number of view- and illumination- dependent samples and showed a promising performance in terms of whole data-space reconstruction speed and visual quality.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)
ISBN
978-1-4673-2216-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1391-1394
Publisher name
IEEE Press
Place of publication
Piscataway
Event location
Tsukuba
Event date
Nov 11, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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