bibtype J - Journal Article
ARLID 0098470
utime 20240111140658.7
mtime 20080116235959.9
DOI 10.1016/j.patrec.2007.10.012
title (primary) (eng) Recognition of partially occluded and deformed binary objects
specification
page_count 10 s.
serial
ARLID cav_un_epca*0257389
ISSN 0167-8655
title Pattern Recognition Letters
volume_id 29
volume 3 (2008)
page_num 360-369
publisher
name Elsevier
title (cze) Rozpoznávání částečně zakrytých a deformovaných binárních objektů
keyword Image recognition
keyword Partial occlusion
keyword Affine transformation
keyword Inflection point
keyword Radial vector
author (primary)
ARLID cav_un_auth*0213250
name1 Horáček
name2 Ondřej
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0213251
name1 Kamenický
name2 Jan
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
source_type textový dokument
url http://library.utia.cas.cz/separaty/2008/ZOI/horacek-recognition of partially occluded and deformed binary objects.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) A method dealing with recognition of partially occluded and affine transformed binary objects is presented. The method is designed for objects with smooth curved boundary. It divides an object into affine-invariant parts and uses modified radial vector for the description of parts. Object recognition is performed via string matching in the space of radial vectors.
abstract (cze) Rozpoznávání částečně zakrytých a deformovaných binárních objektů
reportyear 2008
RIV IN
permalink http://hdl.handle.net/11104/0157371
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arlyear 2008
mrcbU56 textový dokument
mrcbU63 cav_un_epca*0257389 Pattern Recognition Letters 0167-8655 1872-7344 Roč. 29 č. 3 2008 360 369 Elsevier