bibtype |
J -
Journal Article
|
ARLID |
0410792 |
utime |
20240103182239.5 |
mtime |
20060210235959.9 |
title
(primary) (eng) |
How to measure the pose robustness of object views |
specification |
|
serial |
ARLID |
cav_un_epca*0256733 |
ISSN |
0262-8856 |
title
|
Image and Vision Computing |
volume_id |
20 |
volume |
4 (2002) |
page_num |
249-256 |
publisher |
|
|
keyword |
object perception |
keyword |
pose robustness |
keyword |
matching/tracking object features |
author
(primary) |
ARLID |
cav_un_auth*0212474 |
name1 |
Peters |
name2 |
G. |
country |
DE |
|
author
|
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*0212889 |
name1 |
von der Malsburg |
name2 |
C. |
country |
DE |
|
source |
|
COSATI |
09K |
cas_special |
project |
project_id |
KSK1019101 |
agency |
GA AV ČR |
ARLID |
cav_un_auth*0000219 |
|
research |
CEZ:AV0Z1075907 |
abstract
(eng) |
The viewing hemisphere of 3D object can be partitioned into areas of similar views, which provide pose robustness. We compare two procedures for measuring the robustness of views to pose variation: tracking and matching, both by means of detected object features: Gabor wavelet responses. Both methods provide good results. |
RIV |
JD |
department |
ZOI |
permalink |
http://hdl.handle.net/11104/0130879 |
ID_orig |
UTIA-B 20020006 |
arlyear |
2002 |
mrcbU63 |
cav_un_epca*0256733 Image and Vision Computing 0262-8856 1872-8138 Roč. 20 č. 4 2002 249 256 Elsevier |
|