| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0495873 |
| utime |
20240103220824.8 |
| mtime |
20181105235959.9 |
| SCOPUS |
85062898131 |
| WOS |
000455181501093 |
| DOI |
10.1109/ICIP.2018.8451371 |
| title
(primary) (eng) |
Affine Moment Invariants of Vector Fields |
| specification |
| page_count |
5 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0496137 |
| ISBN |
978-1-4799-7062-9 |
| title
|
Proceedings of the 25th IEEE International Conference on Image Processing 2018 |
| page_num |
1338-1342 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2018 |
|
|
| keyword |
Vector field |
| keyword |
total transformation |
| keyword |
affine invariants |
| keyword |
template matching |
| keyword |
vector field moments |
| author
(primary) |
| ARLID |
cav_un_auth*0336802 |
| full_dept |
Department of Image Processing |
| name1 |
Kostková |
| name2 |
Jitka |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101203 |
| full_dept |
Department of Image Processing |
| name1 |
Suk |
| name2 |
Tomáš |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0360229 |
| project_id |
GA18-07247S |
| agency |
GA ČR |
|
| abstract
(eng) |
Vector field (VF) is a special kind of multidimensional data. In each pixel, VF contains information about the direction and themagnitude of themeasured quantity. To detect the patterns of interest in the field, special matching methods must be developed. We propose a method for the description and matching of VF patterns under an unknown affine transformation of the field. Unlike digital images, transformations of VFs act not only on the spatial coordinates but also on the field values, which makes the detection different. To measure the similarity between the template and the field patch, we propose original invariants with respect to affine transformation designed from moments. Their performance is demonstrated by experiments on real data from fluid mechanics. |
| action |
| ARLID |
cav_un_auth*0366810 |
| name |
IEEE International Conference on Image Processing 2018 (ICIP 2018) /25./ |
| dates |
20181007 |
| mrcbC20-s |
20181010 |
| place |
Atény |
| country |
GR |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2019 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0288948 |
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Software Engineering|Imaging Science Photographic Technology |
| arlyear |
2018 |
| mrcbU14 |
85062898131 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000455181501093 WOS |
| mrcbU63 |
cav_un_epca*0496137 Proceedings of the 25th IEEE International Conference on Image Processing 2018 978-1-4799-7062-9 1338 1342 Piscataway IEEE 2018 |
|