| bibtype |
V -
Research Report
|
| ARLID |
0430591 |
| utime |
20240111140849.7 |
| mtime |
20140912235959.9 |
| title
(primary) (eng) |
A Portable Setup for Fast Material Appearance Acquisition |
| publisher |
| place |
Praha |
| name |
ÚTIA AV ČR |
| pub_time |
2014 |
|
| specification |
| page_count |
7 s. |
| media_type |
E |
|
| edition |
| name |
Research Report |
| volume_id |
2342 |
|
| keyword |
measurement setup |
| keyword |
BTF |
| keyword |
ABRDF |
| keyword |
visual psychophysics |
| keyword |
material appearance |
| 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*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*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. |
|
| source |
|
| cas_special |
| project |
| project_id |
239294 |
| agency |
EC FP7, European Reintegration Grant |
| country |
BE |
| ARLID |
cav_un_auth*0301476 |
|
| project |
| project_id |
GA14-02652S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0303412 |
|
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| abstract
(eng) |
A photo-realistic representation of material appearance can be achieved by means of bidirectional texture function (BTF) capturing a material's appearance for varying illumination, viewing directions, and spatial pixel coordinates. BTF captures many non-local effects in material structure such as inter-reflections, occlusions, shadowing, or scattering. The acquisition of BTF data is usually time and resource-intensive due to the high dimensionality of BTF data. This results in expensive, complex measurement setups and/or excessively long measurement times. We propose an approximate BTF acquisition setup based on a simple, affordable mechanical gantry containing a consumer camera and two LED lights. It captures a very limited subset of material surface images by shooting several video sequences. A psychophysical study comparing captured and reconstructed data with the reference BTFs of seven tested materials revealed that results of our method show a promising visual quality. |
| reportyear |
2015 |
| RIV |
BD |
| mrcbC52 |
4 O 4o 20231122140354.1 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0236063 |
| confidential |
S |
| arlyear |
2014 |
| mrcbTft |
\nSoubory v repozitáři: 0430591.pdf |
| mrcbU10 |
2014 |
| mrcbU10 |
Praha ÚTIA AV ČR |
| mrcbU56 |
hypertextový soubor PDF 4MB |
|