| bibtype |
J -
Journal Article
|
| ARLID |
0504286 |
| utime |
20240103221954.1 |
| mtime |
20190429235959.9 |
| SCOPUS |
85064275364 |
| DOI |
10.1007/s41095-019-0134-3 |
| title
(primary) (eng) |
Image-based appearance acquisition of effect coatings |
| specification |
| page_count |
17 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0486115 |
| ISSN |
2096-0433 |
| title
|
Computational Visual Media |
| volume_id |
5 |
| volume |
1 (2019) |
| page_num |
73-89 |
| publisher |
|
|
| keyword |
effect coatings |
| keyword |
bidirectional texture function (BTF) |
| keyword |
measurement |
| keyword |
appearance |
| keyword |
psychophysical experiment |
| author
(primary) |
| ARLID |
cav_un_auth*0101086 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
60 |
| name1 |
Filip |
| name2 |
Jiří |
| institution |
UTIA-B |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0282273 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
40 |
| name1 |
Vávra |
| name2 |
Radomír |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0347019 |
| project_id |
GA17-18407S |
| agency |
GA ČR |
|
| abstract
(eng) |
Paint manufacturers strive to introduce unique visual effects to coatings in order to visually communicate functional properties of products using value-added, customized design. However, these effects often feature complex angularly dependent spatially-varying behavior, thus representing a challenge in digital reproduction. In this paper we analyze several approaches to capturing spatially-varying appearance of effect coatings. We compare a baseline approach based on bidirectional texture function (BTF) with four variants of half-difference parameterization. Through a psychophysical study we identify minimal sampling along individual dimensions of this parametrization. We conclude that bivariate representations preserve visual fidelity of effect coatings, while in contrast to BTF, better characterizing near-specular behavior and significantly restricting number of captured images. |
| action |
| ARLID |
cav_un_auth*0374732 |
| name |
Computational Visual Media 2019 |
| dates |
20190424 |
| place |
Bath |
| country |
GB |
| mrcbC20-s |
20190426 |
|
| result_subspec |
SCOPUS |
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20201 |
| reportyear |
2020 |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0295985 |
| confidential |
S |
| mrcbC91 |
A |
| arlyear |
2019 |
| mrcbU14 |
85064275364 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0486115 Computational Visual Media 2096-0433 2096-0662 Roč. 5 č. 1 2019 73 89 Springer |
|