| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0384222 |
| utime |
20240111140823.4 |
| mtime |
20121130235959.9 |
| title
(primary) (eng) |
Predicting Environment Illumination Effects on Material Appearance |
| specification |
| page_count |
4 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0384215 |
| ISBN |
978-1-4673-2216-4 |
| title
|
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) |
| page_num |
2075-2078 |
| publisher |
| place |
Piscataway |
| name |
IEEE Press |
| year |
2012 |
|
|
| keyword |
Illumination perception |
| keyword |
texture |
| keyword |
BTF |
| 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 |
| 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*0286107 |
| name1 |
Stančík |
| name2 |
J. |
| country |
SK |
|
| source |
|
| cas_special |
| project |
| project_id |
EC Marie Curie ERG 239294 |
| agency |
Evropska komise |
| country |
BE |
|
| project |
| project_id |
409 |
| agency |
CESNET |
| country |
CZ |
|
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| abstract
(eng) |
Environment illumination is a key to achieving a realistic visualization of material appearance. One way to achieve such an illumination is an approximation by rendering of the material surface lit by a finite set of point light sources. In this paper we employed visual psychophysics to identify a minimal number of point light sources approximating realistic illumination. Furthermore, we analyzed stimuli images and correlation of their statistics with obtained psychophysical data. Finally, image statistics were identified which can predict such a minimal environment representation for three tested materials, depending on the visual properties of the illumination environment. |
| action |
| ARLID |
cav_un_auth*0286092 |
| name |
ICPR 2012 - The 21st International Conference on Pattern Recognition |
| place |
Tsukuba |
| dates |
11.11.2012-15.11.2012 |
| country |
JP |
|
| reportyear |
2013 |
| RIV |
BD |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0007450 |
| arlyear |
2012 |
| mrcbU56 |
hypertextový soubor (PDF) 2MB |
| mrcbU63 |
cav_un_epca*0384215 Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) 978-1-4673-2216-4 2075 2078 Piscataway IEEE Press 2012 IEEE Catalog Number : CFP12182-USB |
|