bibtype J - Journal Article
ARLID 0411138
utime 20240103182304.7
mtime 20060210235959.9
title (primary) (eng) Image registration methods: a survey
specification
page_count 24 s.
serial
ARLID cav_un_epca*0256733
ISSN 0262-8856
title Image and Vision Computing
volume_id 21
volume 11 (2003)
page_num 977-1000
publisher
name Elsevier
keyword image registration
keyword feature detection
keyword feature matching
author (primary)
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
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
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/prace/20030125.pdf
COSATI 09K
cas_special
project
project_id GP102/01/P065
agency GA ČR
ARLID cav_un_auth*0011048
research CEZ:AV0Z1075907
abstract (eng) This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images of the same scene taken at different times, from different viewpoints, and/or by different sensors. The reviewed approaches are classified according to their nature and according to four basic steps of image registration procedure. Main contributions and drawbacks of methods are mentioned. Outlook for the future research are disscussed too.
RIV JD
department ZOI
permalink http://hdl.handle.net/11104/0131225
ID_orig UTIA-B 20030125
arlyear 2003
mrcbU63 cav_un_epca*0256733 Image and Vision Computing 0262-8856 1872-8138 Roč. 21 č. 11 2003 977 1000 Elsevier