bibtype C - Conference Paper (international conference)
ARLID 0106294
utime 20240103173132.8
mtime 20050324235959.9
title (primary) (eng) A Gaussian mixture-based colour texture model
specification
page_count 4 s.
serial
title Proceedings of the 17th IAPR International Conference on Pattern Recognition
part_num 3
page_num 177-180
ISBN 0-7695-2128-2
publisher
place Los Alamitos
name IEEE
year 2004
title (cze) Texturní model založený na gaussovských směsích
keyword texture synthesis
keyword mixture models
author (primary)
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
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*0101091
name1 Grim
name2 Jiří
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*0101197
name1 Somol
name2 Petr
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*0101182
name1 Pudil
name2 Pavel
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
name1 Kudo
name2 M.
country JP
ARLID cav_un_auth*0021088
COSATI 09K
cas_special
project
project_id IST-2001-34744
agency Commission EC
country XE
ARLID cav_un_auth*0200688
project
project_id 507752
country XE
agency EC
ARLID cav_un_auth*0200689
project
project_id GA402/03/1310
agency GA ČR
ARLID cav_un_auth*0009030
research CEZ:AV0Z1075907
abstract (eng) A new method of colour texture modelling based on Gaussian distribution mixtures is discussed. We estimate the local statistical properties of the monospectral version of the target texture in the form of a Gaussian mixture of product components. The synthesized texture is obtained by means of a step-wise prediction of the texture image. The proposed texture modelling method can be viewed as a statistically controlled sampling.
abstract (cze) Práce popisuje novou metodu pro modelování barevných textur založenou na pravděpodobnostním modelu typu gaussovské distribuční směsi. Odhadujeme lokální statistické vlastnosti monospektrální verze cílové textury ve formě gaussovské směsi součinových složek. Syntéza textury je založena na predikci texturního obrazu
action
ARLID cav_un_auth*0129876
name International Conference on Pattern Recognition /17./
place Cambridge
dates 23.08.2004-26.08.2004
country GB
reportyear 2005
RIV BD
permalink http://hdl.handle.net/11104/0013476
ID_orig UTIA-B 20040106
arlyear 2004
mrcbU63 Proceedings of the 17th IAPR International Conference on Pattern Recognition 3 0-7695-2128-2 177 180 Los Alamitos IEEE 2004
mrcbU67 Kittler J. 340
mrcbU67 Petrou M. 340
mrcbU67 Nixon M. 340