| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0575788 |
| utime |
20240402214441.9 |
| mtime |
20230925235959.9 |
| DOI |
10.1007/978-3-031-44237-7_28 |
| title
(primary) (eng) |
3D Non-separable Moment Invariants |
| specification |
| page_count |
11 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0575787 |
| ISBN |
978-3-031-44236-0 |
| title
|
Computer Analysis of Images and Patterns. CAIP 2023 |
| page_num |
295-305 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2023 |
|
| editor |
| name1 |
Tsapatsoulis |
| name2 |
N. |
|
|
| keyword |
3D recognition |
| keyword |
3D rotation invariants |
| keyword |
non-separable moments |
| keyword |
Appell polynomials |
| author
(primary) |
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| 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*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*0426512 |
| name1 |
Bedratyuk |
| name2 |
L. |
| country |
UA |
|
| author
|
| ARLID |
cav_un_auth*0438860 |
| name1 |
Karella |
| name2 |
Tomáš |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA21-03921S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0412209 |
|
| abstract
(eng) |
In this paper, we introduce new 3D rotation moment invariants, which are composed of non-separable Appell moments. The Appell moments can be substituted directly into the 3D rotation invariants instead of the geometric moments without violating their invariance. We show that non-separable moments may outperform the separable ones in terms of recognition power and robustness thanks to a better distribution of their zero surfaces over the image space. We test the numerical properties and discrimination power of the proposed invariants on three real datasets – MRI images of human brain, 3D scans of statues, and confocal microscope images of worms. |
| action |
| ARLID |
cav_un_auth*0455368 |
| name |
Computer Analysis of Images and Patterns. CAIP 2023 |
| dates |
20230925 |
| mrcbC20-s |
20230928 |
| place |
Limassol |
| country |
CY |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2024 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0345843 |
| cooperation |
| ARLID |
cav_un_auth*0455369 |
| name |
Khmelnytsky National University |
| institution |
KNU |
| country |
UA |
|
| confidential |
S |
| arlyear |
2023 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0575787 Computer Analysis of Images and Patterns. CAIP 2023 Springer 2023 Cham 295 305 978-3-031-44236-0 Lecture Notes in Computer Science 14184 |
| mrcbU67 |
Tsapatsoulis N. 340 |
|