| bibtype |
J -
Journal Article
|
| ARLID |
0392214 |
| utime |
20240103202532.6 |
| mtime |
20130611235959.9 |
| WOS |
000321532100009 |
| SCOPUS |
84876543004 |
| DOI |
10.1016/j.cag.2013.02.010 |
| title
(primary) (eng) |
Fast method of sparse acquisition and reconstruction of view and illumination dependent datasets |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0252551 |
| ISSN |
0097-8493 |
| title
|
Computers & Graphics-Uk |
| volume_id |
37 |
| volume |
5 (2013) |
| page_num |
376-388 |
| publisher |
|
|
| keyword |
apparent BRDF |
| keyword |
measurement |
| keyword |
reconstruction |
| keyword |
sparse sampling |
| keyword |
portable setup |
| 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. |
|
| source |
|
| cas_special |
| project |
| project_id |
239294 |
| agency |
EC ERG (European Reintegration Grant) FP7 |
| country |
BE |
| ARLID |
cav_un_auth*0301476 |
|
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| abstract
(eng) |
Although computer graphics uses measured view and illumination dependent data to achieve realistic digital reproduction of real-world material properties, the extent of their utilization is currently limited by a complicated acquisition process. Due to the high dimensionality of such data, the acquisition process is demanding on time and resources. Proposed is a method of approximate reconstruction of the data from a very sparse dataset, obtained quickly using inexpensive hardware. This method does not impose any restrictions on input datasets and can handle anisotropic, non-reciprocal view and illumination direction-dependent data. The method's performance was tested on a number of isotropic and anisotropic apparent BRDFs, and the results were encouraging. |
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
2 |
| mrcbC52 |
4 A 4a 20231122135621.5 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0221740 |
| mrcbT16-e |
COMPUTERSCIENCESOFTWAREENGINEERING |
| mrcbT16-f |
1.151 |
| mrcbT16-g |
0.425 |
| mrcbT16-h |
7.VI |
| mrcbT16-i |
0.00514 |
| mrcbT16-j |
0.739 |
| mrcbT16-k |
1268 |
| mrcbT16-l |
87 |
| mrcbT16-s |
0.520 |
| mrcbT16-z |
ScienceCitationIndexExpanded |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
66.761 |
| mrcbT16-C |
52.857 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2013 |
| mrcbTft |
\nSoubory v repozitáři: filip-0392214.pdf |
| mrcbU14 |
84876543004 SCOPUS |
| mrcbU34 |
000321532100009 WOS |
| mrcbU63 |
cav_un_epca*0252551 Computers & Graphics-Uk 0097-8493 1873-7684 Roč. 37 č. 5 2013 376 388 Elsevier |
|