bibtype J - Journal Article
ARLID 0343277
utime 20240903204331.2
mtime 20100726235959.9
title (primary) (eng) Realistic Material Appearance Modelling
specification
page_count 2 s.
serial
ARLID cav_un_epca*0290490
ISSN 0926-4981
title ERCIM News
volume_id 2010
volume 81 (2010)
page_num 13-14
publisher
name European Research Consortium for Informatics and Mathematics
keyword bidirectional texture function
keyword texture modelling
author (primary)
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
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*0101086
name1 Filip
name2 Jiří
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.
author
ARLID cav_un_auth*0237115
name1 Hatka
name2 Martin
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2010/RO/haindl-realistic material appearance modelling.pdf
cas_special
project
project_id GA102/08/0593
agency GA ČR
ARLID cav_un_auth*0239567
research CEZ:AV0Z10750506
abstract (eng) Physically correct and realistic visual appearance rendering or analysis of material surface visual properties require complex descriptive models capable of modelling material dependence on variable illumination and viewing conditions. While recent advances in computer hardware and virtual modelling are finally allowing the view and illumination dependencies of natural surface materials to be taken into account, this occurs at the expense of an immense increase in the required number of material sample measurements. The introduction of fast compression, modelling and rendering methods for visual data measurements is therefore inevitable.
reportyear 2011
RIV BD
permalink http://hdl.handle.net/11104/0185793
arlyear 2010
mrcbU63 cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 2010 č. 81 2010 13 14 European Research Consortium for Informatics and Mathematics