| bibtype |
J -
Journal Article
|
| ARLID |
0433583 |
| utime |
20240903114537.4 |
| mtime |
20141023235959.9 |
| WOS |
000344455700100 |
| SCOPUS |
84908544196 |
| DOI |
10.3390/s141019785 |
| title
(primary) (eng) |
Rapid Material Appearance Acquisition Using Consumer Hardware |
| specification |
| page_count |
21 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0258366 |
| ISSN |
1424-8220 |
| title
|
Sensors |
| volume_id |
14 |
| volume |
10 (2014) |
| page_num |
19785-19805 |
| publisher |
|
|
| keyword |
measurement setup |
| keyword |
material appearance |
| keyword |
BTF |
| keyword |
ABRDF |
| keyword |
visual psychophysics |
| 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 |
| share |
60 |
| 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 |
| share |
30 |
| 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 |
| share |
10 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA14-02652S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0303412 |
|
| project |
| project_id |
239294 |
| agency |
EC FP7, European Reintegration Grant |
| country |
BE |
| ARLID |
cav_un_auth*0301476 |
|
| project |
| project_id |
GA14-10911S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0303439 |
|
| 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 |
| num_of_auth |
3 |
| mrcbC52 |
4 A 4a 20231122140530.4 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0237784 |
| confidential |
S |
| mrcbT16-e |
ELECTROCHEMISTRY|CHEMISTRYANALYTICAL|INSTRUMENTSINSTRUMENTATION |
| mrcbT16-j |
0.566 |
| mrcbT16-s |
0.707 |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
41.623 |
| mrcbT16-C |
64.535 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2014 |
| mrcbTft |
\nSoubory v repozitáři: filip-0433583.pdf |
| mrcbU14 |
84908544196 SCOPUS |
| mrcbU34 |
000344455700100 WOS |
| mrcbU56 |
hypertextový soubor PDF 17MB |
| mrcbU63 |
cav_un_epca*0258366 Sensors 1424-8220 1424-8220 Roč. 14 č. 10 2014 19785 19805 MDPI ONLINE |
|