bibtype V - Research Report
ARLID 0358919
utime 20240103195115.1
mtime 20110510235959.9
title (primary) (eng) Towards Effective Measurement and Interpolation of Bidirectional Texture Functions
publisher
place Praha
name ÚTIA AV ČR, v.v.i
pub_time 2011
specification
page_count 8 s.
edition
name Research Report
volume_id 2298
keyword bidirectional texture function
keyword measurement systems
keyword illumination
author (primary)
ARLID cav_un_auth*0101086
name1 Filip
name2 Jiří
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
project
project_id 306
agency fond rozvoje sdružení CESNET
country CZ
project
project_id 387
agency fond rozvoje sdružení CESNET
country CZ
project
project_id 239294
country XE
agency EC
ARLID cav_un_auth*0271594
project
project_id GA102/08/0593
agency GA ČR
ARLID cav_un_auth*0239567
project
project_id 103/11/0335
agency GA ČR
ARLID cav_un_auth*0271593
research CEZ:AV0Z10750506
abstract (eng) Bidirectional texture function (BTF) is acquired by taking thousands of material surface images for different illumination and viewing directions. This function, provided it is measured accurately, is typically exploited for visualization of material appearance in visual accuracy demanding applications. However, accurate measurement of the BTF is time and resources demanding task. While the sampling of illumination and viewing directions is in all known measurement systems done uniformly, we believe that to be more effective the sampling should be tailored specifically to reflectance properties of materials to be measured. Hence, we introduce a novel method of sparse BTF sampling. The method starts with collecting information about material visual behavior by means of small initial subset of reflectance samples measurement and analysis. This information is fed into our heuristic algorithm producing sparse material dependent sampling that is consequently used for BTF measurement and interpolation.
reportyear 2012
RIV BD
permalink http://hdl.handle.net/11104/0196827
arlyear 2011
mrcbU10 2011
mrcbU10 Praha ÚTIA AV ČR, v.v.i