| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0510483 |
| utime |
20241106135751.4 |
| mtime |
20191106235959.9 |
| SCOPUS |
85076157924 |
| WOS |
000582481300023 |
| DOI |
10.1007/978-3-030-33720-9_23 |
| title
(primary) (eng) |
Mutual Information-Based Texture Spectral Similarity Criterion |
| specification |
| page_count |
13 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0510482 |
| ISBN |
978-3-030-33719-3 |
| ISSN |
0302-9743 |
| title
|
Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019) |
| page_num |
302-314 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2019 |
|
| editor |
|
| editor |
|
| editor |
|
| editor |
|
|
| keyword |
spectral similarity criterion |
| keyword |
Bidirectional Texture Functions |
| keyword |
texture |
| keyword |
mutual information |
| author
(primary) |
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| 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*0283206 |
| name1 |
Havlíček |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
RO |
| full_dept |
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) |
Fast novel texture spectral similarity criterion, capable of assessing spectral modeling resemblance of color and Bidirectional Texture Functions (BTF) textures, is presented. The criterion reliably compares the multi-spectral pixel values of two textures, and thus it allows to assist an optimal modeling or acquisition setup development by comparing the original data with its synthetic simulations. The suggested criterion, together with existing alternatives, is extensively tested in a long series of thousands specially designed monotonically degrading experiments moreover, successfully compared on a wide variety of color and BTF textures. |
| action |
| ARLID |
cav_un_auth*0382047 |
| name |
International Symposium on Visual Computing (ISVC 2019) /14./ |
| dates |
20191007 |
| mrcbC20-s |
20191009 |
| place |
Lake Tahoe |
| country |
US |
|
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2020 |
| num_of_auth |
2 |
| mrcbC52 |
4 A sml 4as 20241106135751.3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0302679 |
| confidential |
S |
| contract |
| name |
Contract Book Contributor Consent to Publish |
| date |
20190904 |
|
| article_num |
23 |
| arlyear |
2019 |
| mrcbTft |
\nSoubory v repozitáři: haindl-0510483-Contract_Book_Contributor_Consent_to_Publish_LNCS_SIP_MH.pdf |
| mrcbU14 |
85076157924 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000582481300023 WOS |
| mrcbU63 |
cav_un_epca*0510482 Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019) 978-3-030-33719-3 0302-9743 1611-3349 302 314 Cham Springer 2019 Lecture Notes in Computer Science 11844 |
| mrcbU67 |
340 Bebis G. |
| mrcbU67 |
340 Boyle R. |
| mrcbU67 |
340 Parvin B. |
| mrcbU67 |
340 Koracin D. |
|