| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0541853 |
| utime |
20240103225721.7 |
| mtime |
20210420235959.9 |
| title
(primary) (eng) |
Combined Invariants to Gaussian Blur and Affine Transformation |
| specification |
| page_count |
6 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0541901 |
| ISBN |
978-1-7281-8808-9 |
| title
|
Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020) |
| page_num |
459-464 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2021 |
|
|
| keyword |
combined moment invariants |
| keyword |
Gaussian blur |
| keyword |
Substitution Theorem |
| author
(primary) |
| ARLID |
cav_un_auth*0336802 |
| 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 |
| 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*0389933 |
| name1 |
Pedone |
| name2 |
M. |
| country |
FI |
|
| source |
|
| cas_special |
| project |
| project_id |
GA18-07247S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0360229 |
|
| project |
| project_id |
AP1701 |
| agency |
AV ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0349658 |
|
| abstract
(eng) |
The paper presents a new theory of combined moment invariants to Gaussian blur and spatial affine transformation. The blur kernel may be arbitrary oriented, scaled and elongated. No prior information about the kernel parameters and about the underlaying affine transform is required. The main idea, expressed by the Substitution Theorem, is to substitute pure blur invariants into traditional affine moment invariants. Potential applications of the new descriptors are in blur-invariant image recognition and in robust template matching. |
| action |
| ARLID |
cav_un_auth*0408434 |
| name |
25th International Conference on Pattern Recognition (ICPR) |
| dates |
20210110 |
| mrcbC20-s |
20210115 |
| place |
Milan, Italy |
| country |
IT |
|
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2022 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0319399 |
| confidential |
S |
| arlyear |
2021 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0541901 Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020) 978-1-7281-8808-9 459 464 Piscataway IEEE 2021 |
|