bibtype J - Journal Article
ARLID 0460400
utime 20240111140920.8
mtime 20160628235959.9
SCOPUS 84983326023
WOS 000383444100002
DOI 10.1111/cgf.12944
title (primary) (eng) Perceptually Motivated BRDF Comparison using Single Image
specification
page_count 12 s.
media_type E
serial
ARLID cav_un_epca*0252549
ISSN 0167-7055
title Computer Graphics Forum
volume_id 35
volume 4 (2016)
page_num 1-12
publisher
name Wiley
keyword BRDF
keyword metric
keyword distortion
author (primary)
ARLID cav_un_auth*0257389
share 30
name1 Havran
name2 V.
country CZ
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 40
name1 Filip
name2 Jiří
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0257390
share 30
name1 Myszkowski
name2 K.
country DE
source
url http://library.utia.cas.cz/separaty/2016/RO/filip-0460400.pdf
source_size 24MB
cas_special
project
ARLID cav_un_auth*0303412
project_id GA14-02652S
agency GA ČR
country CZ
abstract (eng) Surface reflectance of real-world materials is now widely represented by the bidirectional reflectance distribution function (BRDF) and also by spatially varying representations such as SVBRDF and the bidirectional texture function (BTF). The raw surface reflectance measurements are typically compressed or fitted by analytical models, that always introduce a certain loss of accuracy. For its evaluation we need a distance function between a reference surface reflectance and its approximate version. Although some of the past techniques tried to reflect the perceptual sensitivity of human vision, they have neither optimized illumination and viewing conditions nor surface shape. In this paper, we suggest a new image-based methodology for comparing different anisotropic BRDFs. We use optimization techniques to generate a novel surface which has extensive coverage of incoming and outgoing light directions, while preserving its features and frequencies that are important for material appearance judgments.
RIV BD
reportyear 2017
num_of_auth 3
mrcbC52 4 A hod 4ah 20231122141740.8
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0260700
cooperation
ARLID cav_un_auth*0305697
name Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Computer Graphics and Interaction
institution CVUT, FEL, DCGI
country CZ
cooperation
ARLID cav_un_auth*0331344
name Max-Plack Institute, Saarbrucken
institution MPI
country DE
mrcbC64 1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
confidential S
mrcbC86 1* Article|Proceedings Paper Computer Science Software Engineering
mrcbT16-e COMPUTERSCIENCESOFTWAREENGINEERING
mrcbT16-j 1.174
mrcbT16-s 0.733
mrcbT16-4 Q1
mrcbT16-B 88.573
mrcbT16-D Q1
mrcbT16-E Q1
arlyear 2016
mrcbTft \nSoubory v repozitáři: filip-0460400.pdf
mrcbU14 84983326023 SCOPUS
mrcbU34 000383444100002 WOS
mrcbU56 24MB
mrcbU63 cav_un_epca*0252549 Computer Graphics Forum 0167-7055 1467-8659 Roč. 35 č. 4 2016 1 12 Wiley