| bibtype |
J -
Journal Article
|
| ARLID |
0466234 |
| utime |
20240111140929.3 |
| mtime |
20161202235959.9 |
| SCOPUS |
84953924014 |
| WOS |
000395008400008 |
| DOI |
10.1111/cgf.12789 |
| title
(primary) (eng) |
Predicting Visual Perception of Material Structure in Virtual Environments |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0252549 |
| ISSN |
0167-7055 |
| title
|
Computer Graphics Forum |
| volume_id |
36 |
| volume |
1 (2017) |
| page_num |
89-100 |
| publisher |
|
|
| keyword |
appearance modelling |
| keyword |
BRDF |
| keyword |
BTF |
| keyword |
user study |
| keyword |
reflectance and shading |
| author
(primary) |
| ARLID |
cav_un_auth*0101086 |
| 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 |
40 |
| name1 |
Filip |
| name2 |
Jiří |
| institution |
UTIA-B |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0282273 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
40 |
| name1 |
Vávra |
| name2 |
Radomír |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0283206 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
10 |
| name1 |
Havlíček |
| name2 |
Michal |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0292156 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
10 |
| name1 |
Krupička |
| name2 |
Mikuláš |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0303412 |
| project_id |
GA14-02652S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
One of the most accurate yet still practical representation of material appearance is the Bidirectional Texture Function (BTF). The BTF can be viewed as an extension of Bidirectional Reflectance Distribution Function (BRDF) for additional spatial information that includes local visual effects such as shadowing, inter-reflection, subsurface-scattering, etc. However, the shift from BRDF to BTF represents not only a huge leap in respect to the realism of material reproduction, but also related high memory and computational costs stemming from the storage and processing of massive BTF data. \nIn this work we argue that each opaque material, regardless of its surface structure, can be safely substituted by a BRDF without the introduction of a significant perceptual error when viewed from an appropriate distance. Therefore, we ran a set of psychophysical studies over 25 materials to determine so called critical viewing distances, i.e., the minimal distances at which the material spatial structure (texture) cannot be visually discerned. Our analysis determined such typical distances typical for several material categories often used in interior design applications. Furthermore, we propose a combination of computational features that can predict such distances without the need for a psychophysical study. We show that our work can significantly reduce rendering costs in applications that process complex virtual scenes. |
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2018 |
| num_of_auth |
4 |
| mrcbC52 |
4 A hod 4ah 20231122142042.6 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0265787 |
| mrcbC64 |
1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE |
| confidential |
S |
| mrcbC86 |
3+4 Article Computer Science Software Engineering |
| mrcbC86 |
3+4 Article Computer Science Software Engineering |
| mrcbC86 |
3+4 Article Computer Science Software Engineering |
| mrcbT16-e |
COMPUTERSCIENCESOFTWAREENGINEERING |
| mrcbT16-j |
1.413 |
| mrcbT16-s |
0.597 |
| mrcbT16-B |
91.905 |
| mrcbT16-D |
Q1* |
| mrcbT16-E |
Q1 |
| arlyear |
2017 |
| mrcbTft |
\nSoubory v repozitáři: filip-0466234.pdf |
| mrcbU14 |
84953924014 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000395008400008 WOS |
| mrcbU56 |
8MB |
| mrcbU63 |
cav_un_epca*0252549 Computer Graphics Forum 0167-7055 1467-8659 Roč. 36 č. 1 2017 89 100 Wiley |
|