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
page_count 8 s.
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
name Elsevier
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
url http://library.utia.cas.cz/prace/20020006.pdf
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