| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0486111 |
| utime |
20240111140956.5 |
| mtime |
20180205235959.9 |
| SCOPUS |
85044303328 |
| DOI |
10.1145/3154353.3154370 |
| title
(primary) (eng) |
BRDF Measurement of Highly-Specular Materials using a Goniometer |
| specification |
| page_count |
9 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0486110 |
| ISBN |
978-1-4503-5107-2 |
| title
|
Proceedings of the 33rd Spring Conference on Computer Graphics |
| publisher |
| place |
New York |
| name |
ACM |
| year |
2017 |
|
| editor |
| name1 |
Spencer |
| name2 |
Stephen N. |
|
|
| keyword |
BRDF |
| keyword |
gloss |
| keyword |
material |
| keyword |
specular |
| keyword |
goniometer |
| keyword |
adaptive |
| keyword |
measurement |
| keyword |
chrome-like appearance |
| keyword |
high-reflective |
| keyword |
mirror-like coatings |
| author
(primary) |
| ARLID |
cav_un_auth*0101086 |
| full_dept |
Department of Pattern Recognition |
| share |
45 |
| name1 |
Filip |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0282273 |
| full_dept |
Department of Pattern Recognition |
| share |
45 |
| name1 |
Vávra |
| name2 |
Radomír |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0330886 |
| share |
10 |
| name1 |
Maile |
| name2 |
F. J. |
| country |
DE |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0347019 |
| project_id |
GA17-18407S |
| agency |
GA ČR |
|
| abstract
(eng) |
Visually accurate capture of appearance of highly specular surfaces is of a great research interest of the coating industry, who strive to introduce highly reflective products while minimizing their production and quality assessment costs, and avoiding environmental issues related to the production process. An efficient measurement of such surfaces is challenging due to their narrow specular peak of an unknown shape and typically very high dynamic range. Such behavior puts higher requirements on capabilities of a measuring device and has impact on length of the measurement process. In this paper, we rely on a material probes with a predefined curved shape featuring slight local inhomogeneities. This defines a goniometric device as appropriate means of appearance capture. To shorten a typically long measurement time required when using these approaches, we introduce a method of material appearance acquisition by means of the isotropic BRDF using relatively sparse sampling adapted to each measured material individually. |
| action |
| ARLID |
cav_un_auth*0357891 |
| name |
SCCG´17 - 33rd Spring Conference on Computer Graphics 2017 |
| dates |
20170515 |
| mrcbC20-s |
20170517 |
| place |
Mikulov |
| country |
CZ |
|
| RIV |
BD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2018 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0281412 |
| mrcbC61 |
1 |
| cooperation |
| ARLID |
cav_un_auth*0357892 |
| name |
Schlenk Metallic Pigments GmbH |
| institution |
SCHLENK |
| country |
DE |
|
| confidential |
S |
| article_num |
13 |
| arlyear |
2017 |
| mrcbU14 |
85044303328 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
PDF 11MB |
| mrcbU63 |
cav_un_epca*0486110 Proceedings of the 33rd Spring Conference on Computer Graphics 978-1-4503-5107-2 13:1-13:9 New York ACM 2017 SCCG '17 |
| mrcbU67 |
340 Spencer Stephen N. |
|