0384216 20240111140823.420121130235959.9 4 s. P cav_un_epca*0384215978-1-4673-2216-41391-1394PiscatawayIEEE Press2012 reflectance measurement BRDF reconstruction sparse cav_un_auth*0101086 Filip Jiří Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/RO/filip-restoring illumination and view dependent data from sparse samples.pdf 2MB GA102/08/0593 GA ČR cav_un_auth*0239567 378 CESNET CZ 409 CESNET CZ EC Marie Curie ERG 239294 Evropska komise BE GAP103/11/0335 GA ČR cav_un_auth*0273627 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. cav_un_auth*0286081 ICPR 2012 - The 21st International Conference on Pattern Recognition Tsukuba 11.11.2012-15.11.2012 JP 2013 BD 1 PO RVO:67985556 http://hdl.handle.net/11104/0007449 2012 2MB cav_un_epca*0384215 Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) 978-1-4673-2216-4 1391 1394 Piscataway IEEE Press 2012 IEEE Catalog Number : CFP12182-USB