bibtype C - Conference Paper (international conference)
ARLID 0443580
utime 20240103210021.0
mtime 20150526235959.9
WOS 000354102200005
SCOPUS 84928473655
DOI 10.1117/12.2077481
title (primary) (eng) BTF Potts compound texture model
specification
page_count 11 s.
media_type P
serial
ARLID cav_un_epca*0444227
ISBN 978-1-62841-488-2
ISSN 0277-786X
title Measuring, Modeling, and Reproducing Material Appearance 2015
publisher
place Bellingham
name SPIE-IS&T
year 2015
keyword Texture
keyword texture synthesis
keyword compound Markov random field model
keyword CAR model
keyword Potts MRF
keyword Voronoi mosaic
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*0286710
name1 Remeš
name2 Václav
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*0101100
name1 Havlíček
name2 Vojtěch
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/21015/RO/haindl-0443580.pdf
cas_special
project
project_id GA14-10911S
agency GA ČR
country CZ
ARLID cav_un_auth*0303439
project
project_id GA14-02652S
agency GA ČR
country CZ
ARLID cav_un_auth*0303412
abstract (eng) This paper introduces a method for modeling mosaic-like textures using a multispectral parametric Bidirectional Texture Function (BTF) compound Markov random field model (CMRF). The primary purpose of our synthetic texture pproach is to reproduce, compress, and enlarge a given measured texture image so that ideally both natural and synthetic texture will be visually indiscernible, but the model can be easily applied for BFT material editing. The CMRF model consist of several sub-models each having different characteristics along with an underlying structure model which controls transitions between these sub models. The proposed model uses the Potts random field for distributing local texture models in the form of analytically solvable wide-sense BTF Markovian representation for single regions among the fields of a mosaic approximated by the Voronoi diagram. The control field of the BTF-CMRF is generated by the Potts random field model build on top of the adjacency graph of a measured mosaic. The compound random field synthesis combines the modified fast Swendsen-Wang Markov Chain Monte Carlo sampling of the hierarchical Potts MRF part with the fast and analytical synthesis of single regional BTF MRFs.
action
ARLID cav_un_auth*0316990
name Electronic Imaging 2015
place San Francisco
dates 08.02.2015-12.02.2015
country US
reportyear 2016
RIV BD
num_of_auth 3
presentation_type PR
permalink http://hdl.handle.net/11104/0246781
mrcbC61 1
confidential S
mrcbT16-s 0.223
mrcbT16-E Q4
arlyear 2015
mrcbU14 84928473655 SCOPUS
mrcbU34 000354102200005 WOS
mrcbU63 cav_un_epca*0444227 Measuring, Modeling, and Reproducing Material Appearance 2015 978-1-62841-488-2 0277-786X 939807-1-939807-11 Bellingham SPIE-IS&T 2015 Proceedings of SPIE 9398