bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0385300 |
utime |
20240103201734.1 |
mtime |
20121220235959.9 |
title
(primary) (eng) |
Potts Compound Markovian Texture Model |
specification |
page_count |
4 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0384215 |
ISBN |
978-1-4673-2216-4 |
title
|
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) |
page_num |
29-32 |
publisher |
place |
Piscataway |
name |
IEEE Press |
year |
2012 |
|
|
keyword |
texture |
keyword |
Markov random field |
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 |
|
cas_special |
project |
project_id |
409/2011 |
agency |
CESNET |
country |
CZ |
|
project |
project_id |
GAP103/11/0335 |
agency |
GA ČR |
ARLID |
cav_un_auth*0273627 |
|
project |
project_id |
GA102/08/0593 |
agency |
GA ČR |
ARLID |
cav_un_auth*0239567 |
|
abstract
(eng) |
This paper describes a novel multispectral parametric compound Markov random field model for texture synthesis. The proposed compound Markov random field model connects a parametric control random field represented by a hierarchical Potts Markov random field model with analytically solvable wide-sense Markovian representation for single regions. 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 MRFs. |
action |
ARLID |
cav_un_auth*0286711 |
name |
21st International Conference on Pattern Recognition (ICPR 2012) |
place |
Tsukuba |
dates |
11.11.2012-15.11.2012 |
country |
JP |
|
reportyear |
2013 |
RIV |
BD |
num_of_auth |
3 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0007440 |
arlyear |
2012 |
mrcbU63 |
cav_un_epca*0384215 Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) 978-1-4673-2216-4 29 32 Piscataway IEEE Press 2012 IEEE Catalog Number : CFP12182-USB |
|