| bibtype |
J -
Journal Article
|
| ARLID |
0486116 |
| utime |
20240111140956.5 |
| mtime |
20180205235959.9 |
| SCOPUS |
85050943059 |
| DOI |
10.1007/s41095-017-0099-z |
| title
(primary) (eng) |
Adaptive slices for acquisition of anisotropic BRDF |
| specification |
| page_count |
15 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0486115 |
| ISSN |
2096-0433 |
| title
|
Computational Visual Media |
| volume_id |
4 |
| volume |
1 (2018) |
| page_num |
55-69 |
| publisher |
|
|
| keyword |
anisotropic BRDF |
| keyword |
slice |
| keyword |
sampling |
| author
(primary) |
| ARLID |
cav_un_auth*0282273 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
50 |
| name1 |
Vávra |
| name2 |
Radomír |
| institution |
UTIA-B |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101086 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
50 |
| name1 |
Filip |
| name2 |
Jiří |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0347019 |
| project_id |
GA17-18407S |
| agency |
GA ČR |
|
| abstract
(eng) |
BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of the anisotropic BRDF. It is based on a sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices which form a sparse four-dimensional structure in the BRDF space and which can be measured by continuous movements of a light source and a sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor creates a significant time constraint. In order to evaluate our method, we perform adaptive measurements of three materials and we simulate adaptive measurements of thirteen others. We achieve a four-times lower reconstruction error in comparison with the regular non-adaptive BRDF measurements given the same count of measured samples. Our method is almost twice better than a previous adaptive method, and it requires from two- to five-times less samples to achieve the same results as alternative approaches.\n |
| RIV |
BD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2019 |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0281411 |
| confidential |
S |
| arlyear |
2018 |
| mrcbU14 |
85050943059 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
PDF |
| mrcbU63 |
cav_un_epca*0486115 Computational Visual Media 2096-0433 2096-0662 Roč. 4 č. 1 2018 55 69 Springer |
|