bibtype C - Conference Paper (international conference)
ARLID 0391429
utime 20240111140829.3
mtime 20130404235959.9
DOI 10.1007/978-3-642-37447-0_38
title (primary) (eng) Registration of Multi-view Images of Planar Surfaces
specification
page_count 12 s.
media_type C
serial
ARLID cav_un_epca*0391428
ISBN 978-3-642-37446-3
ISSN 0302-9743
title 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers
part_num Part IV
page_num 497-509
publisher
place Berlin
name Springer Berlin Heidelberg
year 2013
keyword registration
keyword BTF
keyword texture
keyword material
keyword appearance
keyword multi-view
author (primary)
ARLID cav_un_auth*0282273
name1 Vávra
name2 Radomír
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101086
name1 Filip
name2 Jiří
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
full_dept Department of Pattern Recognition
garant G
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type hypertextový soubor (PDF)
url http://library.utia.cas.cz/separaty/2013/RO/vavra-registration of multi-view images of planar surfaces.pdf
source_size 2MB
cas_special
project
project_id 239294
agency EC
country BE
ARLID cav_un_auth*0301476
project
project_id 409
agency CESNET
country CZ
project
project_id GA102/08/0593
agency GA ČR
ARLID cav_un_auth*0239567
project
project_id GAP103/11/0335
agency GA ČR
ARLID cav_un_auth*0273627
abstract (eng) This paper presents a novel image-based registration method for high-resolution multi-view images of a planar material surface. Contrary to standard registration approaches, this method aligns images based on a true plane of the material's surface and not on a plane defined by registration marks. It combines the camera calibration and the iterative fitting of desired position and slant of the surface plane, image re-registration, and evaluation of the surface alignment. To optimize image compression performance, we use an error of a compression method as a function evaluating the registration quality. The proposed method shows encouraging results on example visualizations of view- and illumination-dependent textures. In addition to a standard multi-view data registration approach, it provides a better alignment of multi-view images and thus allows more detailed visualization using the same compressed parameterization size.
action
ARLID cav_un_auth*0290443
name 11th Asian Conference on Computer Vision (ACCV 2012)
place Daejeon
dates 05.11.2012-09.11.2012
country KR
reportyear 2014
RIV BD
num_of_auth 2
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0220522
mrcbT16-q 100
mrcbT16-s 0.325
mrcbT16-y 16.75
mrcbT16-x 0.51
mrcbT16-4 Q2
mrcbT16-E Q3
arlyear 2013
mrcbU56 hypertextový soubor (PDF) 2MB
mrcbU63 cav_un_epca*0391428 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers Part IV 978-3-642-37446-3 0302-9743 497 509 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers Berlin Springer Berlin Heidelberg 2013 Lecture Notes in Computer Science 7727