bibtype J - Journal Article
ARLID 0445882
utime 20240103210303.0
mtime 20150806235959.9
WOS 000359028900020
SCOPUS 84937813951
DOI 10.1016/j.patcog.2015.05.007
title (primary) (eng) 3D rotation invariants by complex moments
specification
page_count 11 s.
media_type P
serial
ARLID cav_un_epca*0257388
ISSN 0031-3203
title Pattern Recognition
volume_id 48
volume 11 (2015)
page_num 3516-3526
publisher
name Elsevier
keyword Complex moment
keyword spherical harmonic
keyword group representation theory
keyword 3D rotation invariant
author (primary)
ARLID cav_un_auth*0101203
name1 Suk
name2 Tomáš
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
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
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.
author
ARLID cav_un_auth*0101071
name1 Boldyš
name2 Jiří
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
url http://library.utia.cas.cz/separaty/2015/ZOI/suk-0445882.pdf
cas_special
project
project_id GA13-29225S
agency GA ČR
country CZ
ARLID cav_un_auth*0292734
project
project_id GA15-16928S
agency GA ČR
country CZ
ARLID cav_un_auth*0314467
abstract (eng) A generalization of the complex moments from 2D to 3D is described. Group representation theory is used to construct 3D rotation invariants from them. The algorithm for automatic generating of the invariants of higher orders is proposed.An algorithm for automatic generation of higher order invariants is proposed. The linearly dependent invariants are eliminated. The invariants are experimentally tested on 3D graphical models and also on real volumetric data.
reportyear 2016
RIV IN
mrcbC52 4 A hod 4ah 20231122141040.7
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0248312
mrcbC64 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS
confidential S
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC
mrcbT16-j 1.21
mrcbT16-s 1.579
mrcbT16-4 Q1
mrcbT16-B 82.42
mrcbT16-C 90.629
mrcbT16-D Q1
mrcbT16-E Q1
arlyear 2015
mrcbTft \nSoubory v repozitáři: suk-0445882.pdf
mrcbU14 84937813951 SCOPUS
mrcbU34 000359028900020 WOS
mrcbU63 cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 48 č. 11 2015 3516 3526 Elsevier