Registration of Multi-view Images of Planar Surfaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00391429" target="_blank" >RIV/67985556:_____/13:00391429 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-37447-0_38" target="_blank" >http://dx.doi.org/10.1007/978-3-642-37447-0_38</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-37447-0_38" target="_blank" >10.1007/978-3-642-37447-0_38</a>
Alternative languages
Result language
angličtina
Original language name
Registration of Multi-view Images of Planar Surfaces
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
11th Asian Conference on Computer Vision ACCV, Revised Selected Papers
ISBN
978-3-642-37446-3
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
497-509
Publisher name
Springer Berlin Heidelberg
Place of publication
Berlin
Event location
Daejeon
Event date
Nov 5, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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