bibtype J - Journal Article
ARLID 0391431
utime 20240903204332.8
mtime 20130404235959.9
title (primary) (eng) Wood Variety Recognition on Mobile Devices
specification
page_count 1 s.
media_type P
serial
ARLID cav_un_epca*0290490
ISSN 0926-4981
title ERCIM News
volume_id 2013
volume 93 (2013)
page_num 52-52
publisher
name European Research Consortium for Informatics and Mathematics
keyword wood recognition
keyword Markov random fields
author (primary)
ARLID cav_un_auth*0213290
name1 Vácha
name2 Pavel
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/RO/vacha-wood variety recognition on mobile devices.pdf
cas_special
project
project_id GA102/08/0593
agency GA ČR
ARLID cav_un_auth*0239567
abstract (eng) 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.
reportyear 2014
RIV BD
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0220523
arlyear 2013
mrcbU63 cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 2013 č. 93 2013 52 52 European Research Consortium for Informatics and Mathematics