bibtype |
J -
Journal Article
|
ARLID |
0392835 |
utime |
20240103202616.8 |
mtime |
20130606235959.9 |
WOS |
000321537100008 |
DOI |
10.1016/j.patrec.2013.04.024 |
title
(primary) (eng) |
A Comment on a Novel Approach for the Registration of Weak Affine Images |
specification |
page_count |
5 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0257389 |
ISSN |
0167-8655 |
title
|
Pattern Recognition Letters |
volume_id |
34 |
volume |
12 (2013) |
page_num |
1381-1385 |
publisher |
|
|
keyword |
Image registration |
keyword |
Affine transform |
keyword |
Affine subgroups |
keyword |
Weak affine transform |
keyword |
Area-preserving affine transform |
author
(primary) |
ARLID |
cav_un_auth*0101087 |
name1 |
Flusser |
name2 |
Jan |
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*0101238 |
name1 |
Zitová |
name2 |
Barbara |
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 |
|
cas_special |
project |
project_id |
GAP103/11/1552 |
agency |
GA ČR |
ARLID |
cav_un_auth*0273618 |
|
abstract
(eng) |
In the recent paper (Li and Zhang, 2012) a mapping model of weak affine transform (WAT) was proposed for registering images of flat scenes. We show that such a model may cause inaccuracies when registering images with non-uniform scaling differences, even if they seemingly behave according to this model. Mathematical reason of this is that WAT is neither invertible nor closed. We explain why mapping models forming a group should be preferably used for registration and show some examples of models belonging to affine subgroups. |
reportyear |
2014 |
RIV |
JD |
num_of_auth |
3 |
permalink |
http://hdl.handle.net/11104/0221604 |
mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE |
mrcbT16-f |
1.466 |
mrcbT16-g |
0.223 |
mrcbT16-h |
7.VI |
mrcbT16-i |
0.01137 |
mrcbT16-j |
0.566 |
mrcbT16-k |
5436 |
mrcbT16-l |
251 |
mrcbT16-s |
0.768 |
mrcbT16-z |
ScienceCitationIndexExpanded |
mrcbT16-4 |
Q1 |
mrcbT16-B |
53.42 |
mrcbT16-C |
41.736 |
mrcbT16-D |
Q2 |
mrcbT16-E |
Q2 |
arlyear |
2013 |
mrcbU34 |
000321537100008 WOS |
mrcbU63 |
cav_un_epca*0257389 Pattern Recognition Letters 0167-8655 1872-7344 Roč. 34 č. 12 2013 1381 1385 Elsevier |
|