| bibtype |
J -
Journal Article
|
| ARLID |
0357314 |
| utime |
20240103194941.3 |
| mtime |
20110304235959.9 |
| WOS |
000288922200002 |
| SCOPUS |
79551605988 |
| DOI |
10.1016/j.patrec.2011.01.002 |
| title
(primary) (eng) |
Colour and rotation invariant textural features based on Markov random fields |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0257389 |
| ISSN |
0167-8655 |
| title
|
Pattern Recognition Letters |
| volume_id |
32 |
| volume |
6 (2011) |
| page_num |
771-779 |
| publisher |
|
|
| keyword |
Image modelling |
| keyword |
colour texture |
| keyword |
Illumination invariance |
| keyword |
Markov random field |
| keyword |
rotation invariance |
| author
(primary) |
| ARLID |
cav_un_auth*0213290 |
| name1 |
Vácha |
| name2 |
Pavel |
| 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*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*0101203 |
| name1 |
Suk |
| name2 |
Tomáš |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| project |
| project_id |
2C06019 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0216518 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
A visual appearance of natural materials significantly depends on acquisition circumstances, particularly illumination conditions and viewpoint position, whose variations cause difficulties in the analysis of real scenes. We address this issue with novel texture features, based on fast estimates of Markovian statistics, that are simultaneously rotation and illumination invariant. The proposed features are invariant to inplane material rotation and illumination spectrum (colour invariance), they are robust to local intensity changes (cast shadows) and illumination direction. No knowledge of illumination conditions is required and recognition is possible from a single training image per material. The material recognition is tested on the currently most realistic visual representation – Bidirectional Texture Function (BTF), using CUReT and ALOT texture datasets with more than 250 natural materials. |
| reportyear |
2011 |
| RIV |
BD |
| mrcbC52 |
4 A 4a 20231122134454.9 |
| permalink |
http://hdl.handle.net/11104/0195620 |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE |
| mrcbT16-f |
1.724 |
| mrcbT16-g |
0.084 |
| mrcbT16-h |
6.9 |
| mrcbT16-i |
0.01507 |
| mrcbT16-j |
0.712 |
| mrcbT16-k |
4746 |
| mrcbT16-l |
262 |
| mrcbT16-q |
82 |
| mrcbT16-s |
0.662 |
| mrcbT16-y |
26.64 |
| mrcbT16-x |
2.46 |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
67.28 |
| mrcbT16-C |
43.694 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2011 |
| mrcbTft |
\nSoubory v repozitáři: vacha-0357314.pdf |
| mrcbU14 |
79551605988 SCOPUS |
| mrcbU34 |
000288922200002 WOS |
| mrcbU63 |
cav_un_epca*0257389 Pattern Recognition Letters 0167-8655 1872-7344 Roč. 32 č. 6 2011 771 779 Elsevier |
|