bibtype	J - Journal Article
ARLID	0452917
utime	20240111140913.6
mtime	20160215235959.9
SCOPUS	84939611663
WOS	000392313200003
DOI	10.1007/s00371-015-1148-1
title (primary) (eng)	Adaptive highlights stencils for modeling of multi-axial BRDF anisotropy
specification	page_count 11 s. media_type P
serial	ARLID cav_un_epca*0255335 ISSN 0178-2789 title Visual Computer volume_id 33 volume 1 (2017) page_num 5-15 publisher name Springer
keyword	anisotropic
keyword	Highlight
keyword	stencils
keyword	BRDF
keyword	model
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 60 name1 Filip name2 Jiří 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 20 name1 Havlíček name2 Michal institution UTIA-B 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 20 name1 Vávra name2 Radomír institution UTIA-B fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2016/RO/filip-0452917.pdf source_size 4MB
cas_special	project ARLID cav_un_auth*0303412 project_id GA14-02652S agency GA ČR country CZ abstract (eng) Directionally dependent anisotropic material appearance phenomenon is widely represented using bidirectional reflectance distribution function (BRDF). This function needs in practice either reconstruction of unknown values interpolating between sparse measured samples or requires data fidelity preserving compression forming a compact representation from dense measurements. Both properties can be, to a certain extent, preserved by means of analytical BRDF models. Unfortunately, the number of anisotropic BRDF models is limited, and moreover, most require either a demanding iterative optimization procedure dependent on proper initialization or the user setting parameters. Most of these approaches are challenged by the fitting of complex anisotropic BRDFs. In contrast, we approximate BRDF anisotropic behavior by means of highlight stencils and derive a novel BRDF model that independently adapts such stencils to each anisotropic mode present in the BRDF. Our model allows for the fast direct fitting of parameters without the need of any demanding optimization. RIV BD FORD0 10000 FORD1 10100 FORD2 10102 reportyear 2017 mrcbC52 4 A hod 4ah 20231122141407.2 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0257066 mrcbC64 1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE confidential S mrcbC83 RIV/67985556:_____/17:00452917!RIV17-AV0-67985556 191870804 Doplnění OECD UTIA-B mrcbC83 RIV/67985556:_____/17:00452917!RIV17-GA0-67985556 191876835 Doplnění OECD UTIA-B 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 0.489 mrcbT16-s 0.401 mrcbT16-B 49.229 mrcbT16-D Q3 mrcbT16-E Q3 arlyear 2017 mrcbTft \nSoubory v repozitáři: filip-0452917.pdf mrcbU14 84939611663 SCOPUS mrcbU34 000392313200003 WOS mrcbU56 4MB mrcbU63 cav_un_epca*0255335 Visual Computer 0178-2789 1432-2315 Roč. 33 č. 1 2017 5 15 Springer