Restoring Illumination and View Dependent Data from Sparse Samples

0384216 - ÚTIA 2013 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Filip, Jiří
Restoring Illumination and View Dependent Data from Sparse Samples.
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). Piscataway: IEEE Press, 2012, s. 1391-1394. ISBN 978-1-4673-2216-4.
[ICPR 2012 - The 21st International Conference on Pattern Recognition. Tsukuba (JP), 11.11.2012-15.11.2012]
Grant CEP: GA ČR GA102/08/0593; GA ČR GAP103/11/0335
Grant ostatní: CESNET(CZ) 378; CESNET(CZ) 409; Evropska komise(BE) EC Marie Curie ERG 239294
Institucionální podpora: RVO:67985556
Klíčová slova: reflectance measurement * BRDF reconstruction * sparse
Kód oboru RIV: BD - Teorie informace
http://library.utia.cas.cz/separaty/2012/RO/filip-restoring illumination and view dependent data from sparse samples.pdf

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.
Trvalý link: http://hdl.handle.net/11104/0007449