| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0471592 |
| utime |
20240103213656.4 |
| mtime |
20170224235959.9 |
| SCOPUS |
85013427588 |
| WOS |
000418399200006 |
| DOI |
10.1007/978-3-319-52277-7_6 |
| title
(primary) (eng) |
Two Compound Random Field Texture Models |
| specification |
| page_count |
8 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0471591 |
| ISBN |
978-3-319-52276-0 |
| title
|
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016 |
| page_num |
44-51 |
| publisher |
| place |
Cham |
| name |
Springer International Publishing |
| year |
2017 |
|
| editor |
| name1 |
Beltran-Castanon |
| name2 |
C. |
|
| editor |
|
| editor |
|
|
| keyword |
Texture |
| keyword |
texture synthesis |
| keyword |
compound random field model |
| keyword |
CAR model |
| keyword |
two-dimensional Bernoulli mixture |
| keyword |
two-dimensional Gaussian mixture |
| 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 |
| garant |
A |
| 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 |
| ARLID |
cav_un_auth*0303439 |
| project_id |
GA14-10911S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
Two novel models for texture representation using parametric compound random field models are introduced. These models consist of a set of several sub-models each having different characteristics along with an underlying structure model which controls transitions between them. The structure model is a two-dimensional probabilistic mixture model either of the Bernoulli or Gaussian mixture type. Local textures are modeled using the fully multispectral three-dimensional causal auto-regressive models. Both presented compound random field models allow to reproduce, compress, edit, and enlarge a given measured color, multispectral, or bidirectional texture function (BTF) texture so that ideally both measured and synthetic textures are visually indiscernible. |
| action |
| ARLID |
cav_un_auth*0343392 |
| name |
CIARP 2016 - 21st Iberoamerican Congress 2016 |
| dates |
20161108 |
| mrcbC20-s |
20161111 |
| place |
Lima |
| country |
PE |
|
| RIV |
BD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2018 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0271351 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods|Imaging Science Photographic Technology |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods|Imaging Science Photographic Technology |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods|Imaging Science Photographic Technology |
| arlyear |
2017 |
| mrcbU14 |
85013427588 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000418399200006 WOS |
| mrcbU63 |
cav_un_epca*0471591 Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016 Springer International Publishing 2017 Cham 44 51 978-3-319-52276-0 Lecture Notes in Computer Science 10125 |
| mrcbU67 |
340 Beltran-Castanon C. |
| mrcbU67 |
340 Nystrom I. |
| mrcbU67 |
340 Famili F. |
|