bibtype C - Conference Paper (international conference)
ARLID 0462884
utime 20240103212627.5
mtime 20160921235959.9
SCOPUS 84988521877
WOS 000398736400008
DOI 10.1007/978-3-319-43982-2
title (primary) (eng) A Compound Moving Average Bidirectional Texture Function Model
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0462883
ISBN 978-3-319-43981-5
ISSN 2194-5357
title Multimedia and Network Information Systems
page_num 89-98
publisher
place Switzerland
name Springer Internatiion Publishing
year 2017
editor
name1 Zgrzynowa
name2 Alexander
editor
name1 Choros
name2 Kazimierz
editor
name1 Sieminski
name2 Andrzej
keyword bidirectional texture function
keyword texture synthesis
keyword compound random field model
author (primary)
ARLID cav_un_auth*0101093
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
full_dept Department of Pattern Recognition
name1 Haindl
name2 Michal
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0283206
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
full_dept Department of Pattern Recognition
name1 Havlíček
name2 Michal
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2016/RO/haindl-0462884.pdf
cas_special
project
ARLID cav_un_auth*0303439
project_id GA14-10911S
agency GA ČR
country CZ
abstract (eng) This paper describes a simple novel compound random field model capable of realistic modelling the most advanced recent representation of visual properties of surface materials - the bidirectional texture function. The presented compound random field model combines a non-parametric control random field with local multispectral models for single regions and thus allows to avoid demanding iterative methods for both parameters estimation and the compound random field synthesis. The local textur regions (not necessarily continuous) are represented by an analytical bidirectional texture function model which consists of single scale factors modeled by the three-dimensional moving average random field model which can be analytically estimated as well as synthesized.
action
ARLID cav_un_auth*0333803
name Multimedia and Network Information Systems MISSI 2016 /10./
dates 20160914
place Wroclaw
country PL
mrcbC20-s 20160916
RIV BD
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2017
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0262366
confidential S
mrcbC83 RIV/67985556:_____/17:00462884!RIV17-AV0-67985556 191870806 Doplnení OECD UTIA-B
mrcbC83 RIV/67985556:_____/17:00462884!RIV17-GA0-67985556 191876837 Doplnění OECD UTIA-B
mrcbC86 n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Information Systems|Computer Science Theory Methods
mrcbC86 n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Information Systems|Computer Science Theory Methods
mrcbC86 n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Information Systems|Computer Science Theory Methods
arlyear 2017
mrcbU14 84988521877 SCOPUS
mrcbU34 000398736400008 WOS
mrcbU63 cav_un_epca*0462883 Multimedia and Network Information Systems 978-3-319-43981-5 2194-5357 89-98 89 98 Switzerland Springer Internatiion Publishing 2017 Advances in Intelligent Systems and Computing 506
mrcbU67 Zgrzynowa Alexander 340
mrcbU67 Choros Kazimierz 340
mrcbU67 Sieminski Andrzej 340