| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0346562 |
| utime |
20240103193759.1 |
| mtime |
20100907235959.9 |
| DOI |
10.1109/ICPR.2010.442 |
| title
(primary) (eng) |
A Compound MRF Texture Model |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0346559 |
| ISBN |
978-1-4244-7542-1 |
| ISSN |
1051-4651 |
| title
|
20th International Conference on Pattern Recognition |
| page_num |
1792-1795 |
| publisher |
| place |
Los Alamitos |
| name |
IEEE Computer Society CPS |
| year |
2010 |
|
|
| keyword |
compound Markov random field |
| keyword |
bidirectional texture function |
| 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*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 |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| project |
| project_id |
2C06019 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0216518 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
This paper describes a novel compound Markov random field model capable of realistic modelling of multispectral bidirectional texture function, which is currentl the most advanced representation of visual properties of surface materials. The proposed compound Markov random field model combines a non-parametric control random field with analytically solvable widesense Markov representation for single regions and thus allows to avoid demanding Markov Chain Monte Carlo methods for both parameters estimation and the compound random field synthesis. |
| action |
| ARLID |
cav_un_auth*0263643 |
| name |
20th International Conference on Pattern Recognition ICPR 2010 |
| place |
Istanbul |
| dates |
23.08.2010-26.08.2010 |
| country |
TR |
|
| reportyear |
2011 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0187562 |
| mrcbT16-q |
50 |
| mrcbT16-s |
0.420 |
| mrcbT16-y |
10.52 |
| mrcbT16-x |
0.85 |
| arlyear |
2010 |
| mrcbU63 |
cav_un_epca*0346559 20th International Conference on Pattern Recognition 978-1-4244-7542-1 1051-4651 1792 1795 Los Alamitos IEEE Computer Society CPS 2010 |
|