0469425 20240103213419.420170119235959.9 85010977175 000392205700005 10.1109/IWCIM.2016.7801178 5 s. E cav_un_epca*0469424978-1-5090-5525-81-5USAIEEE2016 Cultural differences Image reconstruction Shape reconstruction bidirectional texture function surface modeling Visualization Lighting virtual reality cav_un_auth*0101093 Haindl Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0320130 Sedláček Matěj Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition CZ Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2016/RO/haindl-0469425.pdf cav_un_auth*0303439 GA14-10911S GA ČR CZ Museums and other cultural heritage custodians are interested in digitizing their collections, not only for the sake of preserving cultural heritage, but also to make the information content accessible and affordable to researchers and the general public. Once an object’s digital model is created it can be digitally reconstructed to its original uneroded or unbroken shape or realistically visualized using different historical materials. Some artifacts are so fragile that they cannot leave the carefully controlled light, humidity, and temperature of their storage facilities, thus they are already inaccessible to the public, and the viable alternative is their exhibition in the form of an augmented reality scene. We present a sophisticated measurement and processing setup, which we have developed, to enable the construction of physically correct virtual models. This setup is illustrated on the reconstruction of one of the best known Celtic artifact from the European Iron Age period to its original uncorrupted form. cav_un_auth*0341364 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) 20161027 20161028 Reggio Calabria IT BD 2017 2 PR RVO:67985556 http://hdl.handle.net/11104/0268913 1 S 16 3+4 Proceedings Paper Automation Control Systems|Instruments Instrumentation|Robotics 2016 85010977175 SCOPUS PUBMED 000392205700005 WOS cav_un_epca*0469424 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) 978-1-5090-5525-8 1 5 USA IEEE 2016