0391431 20240903204332.820130404235959.9 1 s. P cav_un_epca*02904900926-4981201393 (2013)52-52European Research Consortium for Informatics and Mathematics wood recognition Markov random fields cav_un_auth*0213290 Vácha Pavel 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*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. http://library.utia.cas.cz/separaty/2013/RO/vacha-wood variety recognition on mobile devices.pdf GA102/08/0593 GA ČR cav_un_auth*0239567 Each type of wood has its own specific physical, aesthetic and economic properties; thus correct identification of wood species is required in numerous practical applications, from construction industry, manufacturing, furniture design, and restoration to pricing evaluation of wooden items. Fast, reliable, and practical recognition of wood species is therefore important, having potential impacts in a range of areas, including: the intended application, construction safety, and detecting illegal logging of endangered species. A mobile Android application that can automatically recognize wood species from a phone photo has been developed at the Institute of Information Theory and Automation AS CR in Prague. 2014 BD 2 RVO:67985556 http://hdl.handle.net/11104/0220523 2013 cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 2013 č. 93 2013 52 52 European Research Consortium for Informatics and Mathematics