bibtype |
J -
Journal Article
|
ARLID |
0501036 |
utime |
20240111141015.1 |
mtime |
20190205235959.9 |
SCOPUS |
85061215223 |
WOS |
000460393600001 |
DOI |
10.1145/3301412 |
title
(primary) (eng) |
Perceptual Attributes Analysis of Real-World Materials |
specification |
page_count |
19 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0329828 |
ISSN |
1544-3558 |
title
|
ACM Transactions on Applied Perception |
volume_id |
16 |
publisher |
name |
Association for Computing Machinery |
|
|
keyword |
BRDF |
keyword |
attributes |
keyword |
perception |
keyword |
visual |
keyword |
tactile |
keyword |
user study |
author
(primary) |
ARLID |
cav_un_auth*0101086 |
full_dept |
Department of Pattern Recognition |
share |
80 |
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*0361777 |
full_dept |
Department of Pattern Recognition |
share |
20 |
name1 |
Kolafová |
name2 |
Martina |
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. |
|
source |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0347019 |
project_id |
GA17-18407S |
agency |
GA ČR |
|
abstract
(eng) |
Material appearance is often represented by a bidirectional reflectance distribution function (BRDF). Although the concept of the BRDF is widely used in computer graphics and related applications, the number of actual captured BRDFs is limited due to a time and resources demanding measurement process. Several BRDF databases have already been provided publicly, yet subjective properties of underlying captured material samples, apart from single photographs, remain unavailable for users. In this paper we analyzed material samples, used in the creation of the UTIA BRDF database, in a psychophysical study with nine subjects and assessed its twelve visual, tactile, and subjective attributes. Further, we evaluated the relationship between the attributes and six material categories. We consider the presented perceptual analysis as valuable and complementary information to the database, that could aid users to select appropriate materials for their applications. |
result_subspec |
WOS |
RIV |
BD |
FORD0 |
20000 |
FORD1 |
20200 |
FORD2 |
20205 |
reportyear |
2020 |
num_of_auth |
2 |
mrcbC52 |
4 A hod 4ah 20231122143808.3 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0293335 |
mrcbC61 |
1 |
mrcbC64 |
1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE |
confidential |
S |
article_num |
1 |
mrcbC86 |
3+4 Article Computer Science Software Engineering |
mrcbC91 |
C |
mrcbT16-e |
COMPUTERSCIENCESOFTWAREENGINEERING |
mrcbT16-j |
0.409 |
mrcbT16-s |
0.489 |
mrcbT16-B |
48.642 |
mrcbT16-D |
Q3 |
mrcbT16-E |
Q3 |
arlyear |
2019 |
mrcbTft |
\nSoubory v repozitáři: filip-0501036.pdf |
mrcbU14 |
85061215223 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000460393600001 WOS |
mrcbU56 |
PDF 15MB |
mrcbU63 |
cav_un_epca*0329828 ACM Transactions on Applied Perception 1544-3558 1544-3965 Roč. 16 č. 1 2019 Association for Computing Machinery |
|