| 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 |
|