bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0479476 |
utime |
20240103214702.9 |
mtime |
20171012235959.9 |
SCOPUS |
85045313410 |
WOS |
000428410702097 |
DOI |
10.1109/ICIP.2017.8296704 |
title
(primary) (eng) |
Recognition of Patterns in Vector Fields by Gaussian-Hermite Invariants |
specification |
page_count |
5 s. |
media_type |
C |
|
serial |
ARLID |
cav_un_epca*0479513 |
ISBN |
978-1-5090-2175-8 |
title
|
Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP 2017) |
page_num |
2359-2363 |
publisher |
place |
Piscataway |
name |
IEEE |
year |
2017 |
|
|
keyword |
vector field |
keyword |
total rotation |
keyword |
Gaussian-Hermite moments |
keyword |
template matching |
author
(primary) |
ARLID |
cav_un_auth*0236665 |
name1 |
Yang |
name2 |
B. |
country |
CN |
|
author
|
ARLID |
cav_un_auth*0336802 |
name1 |
Kostková |
name2 |
Jitka |
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. |
|
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. |
|
author
|
ARLID |
cav_un_auth*0101203 |
name1 |
Suk |
name2 |
Tomáš |
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. |
|
author
|
ARLID |
cav_un_auth*0349350 |
name1 |
Bujack |
name2 |
R. |
country |
US |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0314467 |
project_id |
GA15-16928S |
agency |
GA ČR |
|
abstract
(eng) |
We propose a method for the recognition of vector field patterns under an unknown rotation. The rotation is modeled as a total transformation, which is applied on both spatial coordinates and field values. The invariants are constructed from orthogonal Gaussian-Hermite moments. Their numerical stability and recognition power are shown to be better than those of the invariants published so far. |
action |
ARLID |
cav_un_auth*0351399 |
name |
IEEE International Conference on Image Processing 2017 (ICIP 2017) |
dates |
20170917 |
mrcbC20-s |
20170920 |
place |
Beijing |
country |
CN |
|
RIV |
JD |
FORD0 |
20000 |
FORD1 |
20200 |
FORD2 |
20205 |
reportyear |
2018 |
num_of_auth |
5 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0275498 |
confidential |
S |
mrcbC83 |
RIV/67985556:_____/17:00479476!RIV18-AV0-67985556 191975709 Doplnění UT WOS, Scopus a DOI |
mrcbC83 |
RIV/67985556:_____/17:00479476!RIV18-GA0-67985556 191965041 Doplnění UT WOS, Scopus a DOI |
mrcbC86 |
n.a. Proceedings Paper Imaging Science Photographic Technology |
arlyear |
2017 |
mrcbU14 |
85045313410 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000428410702097 WOS |
mrcbU63 |
cav_un_epca*0479513 Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP 2017) 978-1-5090-2175-8 2359 2363 Piscataway IEEE 2017 |
|