| bibtype |
J -
Journal Article
|
| ARLID |
0587782 |
| utime |
20250317091714.8 |
| mtime |
20240722235959.9 |
| SCOPUS |
85211110709 |
| DOI |
10.24132/CSRN.3401.21 |
| title
(primary) (eng) |
Color Quality Comparison in Spectrally (Un)Correlated Random Field Models |
| specification |
| page_count |
10 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0573711 |
| ISSN |
2464-4617 |
| title
|
Computer Science Research Notes |
| volume_id |
3401 |
| volume |
1 (2024) |
| page_num |
197-206 |
|
| keyword |
Texture Analysis |
| keyword |
Texture Synthesis |
| keyword |
Texture Color Quality Comparison |
| keyword |
Texture Modeling |
| keyword |
BTF |
| author
(primary) |
| ARLID |
cav_un_auth*0283206 |
| name1 |
Havlíček |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| garant |
A |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| abstract
(eng) |
We inspect the ability to reproduce spectral (color) composition in random field-based texture models, test when it can neglect spectral correlation, and simplify these random models without visibly depreciating their visual quality. These probabilistic models present essential two or three-dimensional factors for modeling seven-dimensional Bidirectional Texture Function (BTF) - the most advanced representation currently used in real-world material visual properties modeling. They can seamlessly approximate original measured massive data and extend them to an arbitrary size or simulate unmeasured ones. Using extensive test data sets and a small set of setup control parameters, these models reach a vast compression ratio while maintaining the visual quality of measurements, and thus, they are the only viable alternative for BTF practical usage. |
| action |
| ARLID |
cav_un_auth*0470087 |
| name |
32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2024 |
| dates |
20240515 |
| mrcbC20-s |
20240519 |
| place |
Plzen |
| country |
CZ |
|
| result_subspec |
SCOPUS |
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2025 |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0355030 |
| confidential |
S |
| mrcbC91 |
C |
| mrcbT16-s |
0.121 |
| mrcbT16-E |
Q4 |
| arlyear |
2024 |
| mrcbU14 |
85211110709 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0573711 Computer Science Research Notes 3401 1 2024 197 206 2464-4617 2464-4625 |
|