bibtype |
J -
Journal Article
|
ARLID |
0338804 |
utime |
20240111140735.1 |
mtime |
20100219235959.9 |
WOS |
000274388400014 |
SCOPUS |
76649102145 |
DOI |
10.1111/j.1467-8659.2009.01585.x |
title
(primary) (eng) |
Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization |
specification |
page_count |
15 s. |
media_type |
www |
|
serial |
ARLID |
cav_un_epca*0252549 |
ISSN |
0167-7055 |
title
|
Computer Graphics Forum |
volume_id |
29 |
volume |
1 (2010) |
page_num |
175-190 |
publisher |
|
|
keyword |
bidirectional texture function |
keyword |
BRDF |
keyword |
compression |
keyword |
SSIM |
author
(primary) |
ARLID |
cav_un_auth*0257389 |
name1 |
Havran |
name2 |
V. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0101086 |
name1 |
Filip |
name2 |
Jiří |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
institution |
UTIA-B |
full_dept |
Department of Pattern Recognition |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0257390 |
name1 |
Myszkowski |
name2 |
K. |
country |
DE |
|
source |
|
cas_special |
project |
project_id |
1M0572 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0001814 |
|
project |
project_id |
239294 |
agency |
EC Marie Curie ERG |
country |
CZ |
ARLID |
cav_un_auth*0301476 |
|
project |
project_id |
GA102/08/0593 |
agency |
GA ČR |
ARLID |
cav_un_auth*0239567 |
|
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
The Bidirectional Texture Function (BTF) is becoming widely used for accurate representation of real-world material appearance. In this paper a novel BTF compression model is proposed. The model resamples input BTF data into a parametrization, allowing decomposition of individual view and illumination dependent texels into a set of multi-dimensional conditional probability density functions. These functions are compressed in turn using a novel multi-level vector quantization algorithm. The result of this algorithm is a set of index and scale code-books for individual dimensions. BTF reconstruction from the model is then based on fast chained indexing into the nested stored code-books. In the proposed model, luminance and chromaticity are treated separately to achieve further compression. The proposed model achieves low distortion and compression ratios 1:233–1:2040, depending on BTF sample variability. |
reportyear |
2010 |
RIV |
BD |
mrcbC52 |
4 A 4a 20231122133926.4 |
permalink |
http://hdl.handle.net/11104/0182481 |
mrcbT16-e |
COMPUTERSCIENCESOFTWAREENGINEERING |
mrcbT16-f |
1.729 |
mrcbT16-g |
0.157 |
mrcbT16-h |
4.6 |
mrcbT16-i |
0.01348 |
mrcbT16-j |
1.009 |
mrcbT16-k |
2055 |
mrcbT16-l |
242 |
mrcbT16-s |
0.814 |
mrcbT16-4 |
Q1 |
mrcbT16-B |
87.704 |
mrcbT16-C |
75.253 |
mrcbT16-D |
Q1 |
mrcbT16-E |
Q1 |
arlyear |
2010 |
mrcbTft |
\nSoubory v repozitáři: filip-0338804.pdf |
mrcbU14 |
76649102145 SCOPUS |
mrcbU34 |
000274388400014 WOS |
mrcbU56 |
pdf |
mrcbU63 |
cav_un_epca*0252549 Computer Graphics Forum 0167-7055 1467-8659 Roč. 29 č. 1 2010 175 190 Wiley |
|