bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0573712 |
utime |
20240402214154.6 |
mtime |
20230719235959.9 |
DOI |
10.24132/CSRN.3301.13 |
title
(primary) (eng) |
Texture Spectral Similarity Criteria Comparison |
specification |
page_count |
7 s. |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0574058 |
ISBN |
978-80-86943-32-9 |
ISSN |
2464-4617 |
title
|
WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023 |
page_num |
100-106 |
publisher |
place |
Plzeň |
name |
University of West Bohemia |
year |
2023 |
|
|
keyword |
Texture Comparison |
keyword |
Texture Modeling |
keyword |
Texture Retrieval |
keyword |
Texture Classification |
keyword |
Texture Acquisition |
author
(primary) |
ARLID |
cav_un_auth*0283206 |
name1 |
Havlíček |
name2 |
Michal |
institution |
UTIA-B |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept (eng) |
Department of Pattern Recognition |
department (cz) |
RO |
department (eng) |
RO |
full_dept |
Department of Pattern Recognition |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101093 |
name1 |
Haindl |
name2 |
Michal |
institution |
UTIA-B |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
full_dept |
Department of Pattern Recognition |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
GA19-12340S |
agency |
GA ČR |
country |
CZ |
ARLID |
cav_un_auth*0376011 |
|
abstract
(eng) |
Criteria capable of texture spectral similarity evaluation are presented and compared. From the fifteen evaluated criteria, only four criteria guarantee zero or minimal spectral ranking errors. Such criteria can support texture modeling algorithms by comparing the modeled texture with corresponding synthetic simulations. Another possible application is the development of texture retrieval, classification, or texture acquisition system. These criteria thoroughly test monotonicity and mutual correlation on specifically designed extensive monotonously degrading experiments. |
action |
ARLID |
cav_un_auth*0452329 |
name |
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./ |
dates |
20230515 |
place |
Plzen |
country |
CZ |
mrcbC20-s |
20230519 |
|
RIV |
BC |
FORD0 |
20000 |
FORD1 |
20200 |
FORD2 |
20205 |
reportyear |
2024 |
result_subspec |
SCOPUS |
num_of_auth |
2 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
https://hdl.handle.net/11104/0344423 |
confidential |
S |
mrcbC91 |
C |
mrcbT16-s |
0.143 |
mrcbT16-E |
Q4 |
arlyear |
2023 |
mrcbU02 |
C |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0574058 WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023 978-80-86943-32-9 2464-4617 2464-4625 100 106 Plzeň University of West Bohemia 2023 Computer Science Research Notes CSRN 3301 |
|