| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0393865 |
| utime |
20240111140832.1 |
| mtime |
20130716235959.9 |
| WOS |
000331094301067 |
| SCOPUS |
84887330932 |
| DOI |
10.1109/CVPR.2013.193 |
| title
(primary) (eng) |
BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0393864 |
| ISBN |
978-0-7695-4990-3 |
| ISSN |
2160-7508 |
| title
|
Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| page_num |
1468-1473 |
| publisher |
| place |
New York |
| name |
IEEE Computer Society Conference Publishing Services |
| year |
2013 |
|
|
| keyword |
BRDF slices |
| keyword |
adaptive anisotropic material appearance |
| keyword |
measurement device |
| author
(primary) |
| ARLID |
cav_un_auth*0101086 |
| name1 |
Filip |
| name2 |
Jiří |
| 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 |
G |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0282273 |
| name1 |
Vávra |
| name2 |
Radomír |
| 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*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| 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*0101239 |
| name1 |
Žid |
| name2 |
Pavel |
| 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*0292156 |
| name1 |
Krupička |
| name2 |
Mikuláš |
| 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*0257389 |
| name1 |
Havran |
| name2 |
V. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| project_id |
239294 |
| agency |
EC FP7, European Reintegration Grant |
| country |
BE |
| ARLID |
cav_un_auth*0301476 |
|
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| abstract
(eng) |
In this paper we introduce unique publicly available dense anisotropic BRDF data measurements. We use this dense data as a reference for performance evaluation of the proposed BRDF sparse angular sampling and interpolation approach. The method is based on sampling of BRDF subspaces at fixed elevations by means of several adaptively-represented, uniformly distributed, perpendicular slices. Although this proposed method requires only a sparse sampling of material, the interpolation provides a very accurate reconstruction, visually and computationally comparable to densely measured reference. Due to the simple slices measurement and method's robustness it allows for a highly accurate acquisition of BRDFs. This in comparison with standard uniform angular sampling, is considerably faster yet uses far less samples. |
| action |
| ARLID |
cav_un_auth*0292157 |
| name |
Computer Vision and Pattern Recognition |
| place |
Portland, OR |
| dates |
23.06.2013-28.06.2013 |
| country |
US |
|
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
6 |
| mrcbC52 |
4 A 4a 20231122135656.4 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0222416 |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence |
| arlyear |
2013 |
| mrcbTft |
\nSoubory v repozitáři: filip-0393865.pdf |
| mrcbU14 |
84887330932 SCOPUS |
| mrcbU34 |
000331094301067 WOS |
| mrcbU56 |
hypertextový soubor (PDF) 1MB |
| mrcbU63 |
cav_un_epca*0393864 Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 978-0-7695-4990-3 2160-7508 1468 1473 Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition New York IEEE Computer Society Conference Publishing Services 2013 |
|