| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0346556 |
| utime |
20240103193758.7 |
| mtime |
20100913235959.9 |
| WOS |
000286412900041 |
| SCOPUS |
77958510730 |
| DOI |
10.1007/978-3-642-14980-1_41 |
| title
(primary) (eng) |
A Psychophysical Evaluation of Texture Degradation Descriptors |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0346555 |
| ISBN |
978-3-642-14979-5 |
| ISSN |
0302-9743 |
| title
|
Structural, Syntactic, and Statistical Pattern Recognition |
| page_num |
423-433 |
| publisher |
| place |
Berlin / Heidelberg |
| name |
Springer Berlin / Heidelberg |
| year |
2010 |
|
| editor |
| name1 |
Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco |
|
|
| keyword |
texture |
| keyword |
degradation |
| keyword |
statistical features |
| keyword |
BTF |
| keyword |
psychophysics |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0213290 |
| name1 |
Vácha |
| name2 |
Pavel |
| 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*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| 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*0245455 |
| name1 |
Green |
| name2 |
P.R. |
| country |
GB |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
ERG 239294 |
| agency |
EC Marie Curie |
| country |
BE |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Delivering a digital realistic appearance of materials is one of the most difficult tasks of computer vision. Accurate representation of surface texture can be obtained by means of view and illumination dependent textures. However, this kind of appearance representation produces massive datasets so their compression is inevitable. For optimal visual performance of compression methods, their parameters should be set dependently on the actual material. We propose a set of statistical descriptors motivated by standard textural features, and psychophysically evaluate their performance on three subtle artificial texture visual degradations. We tested the five types of descriptors on five different textures and combination of thirteen surface shapes and two illuminations. We have found that descriptors based on two-dimensional causal auto-regressive model, have the highest correlation with the psychophysical results. |
| action |
| ARLID |
cav_un_auth*0263645 |
| name |
Structural, Syntactic, and Statistical Pattern Recognition |
| place |
Cesme, Izmir |
| dates |
18.08.2010-20.08.2010 |
| country |
TR |
|
| reportyear |
2011 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0187557 |
| mrcbT16-q |
100 |
| mrcbT16-s |
0.318 |
| mrcbT16-y |
16.31 |
| mrcbT16-x |
0.34 |
| arlyear |
2010 |
| mrcbU14 |
77958510730 SCOPUS |
| mrcbU34 |
000286412900041 WOS |
| mrcbU63 |
cav_un_epca*0346555 Structural, Syntactic, and Statistical Pattern Recognition 978-3-642-14979-5 0302-9743 423 433 Berlin / Heidelberg Springer Berlin / Heidelberg 2010 LNCS 6218 |
| mrcbU67 |
Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco 340 |
|