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Wood Variety Recognition on Mobile Devices
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SYSNO ASEP 0391431 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Wood Variety Recognition on Mobile Devices Author(s) Vácha, Pavel (UTIA-B) RID
Haindl, Michal (UTIA-B) RID, ORCIDNumber of authors 2 Source Title ERCIM News. - : European Research Consortium for Informatics and Mathematics - ISSN 0926-4981
Roč. 2013, č. 93 (2013), s. 52-52Number of pages 1 s. Publication form Print - P Language eng - English Country FR - France Keywords wood recognition ; Markov random fields Subject RIV BD - Theory of Information R&D Projects GA102/08/0593 GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2014 Electronic address http://library.utia.cas.cz/separaty/2013/RO/vacha-wood variety recognition on mobile devices.pdf
Number of the records: 1