Matching of Images of Non-planar Objects with View Synthesis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218867" target="_blank" >RIV/68407700:21230/14:00218867 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-04298-5_4" target="_blank" >http://dx.doi.org/10.1007/978-3-319-04298-5_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-04298-5_4" target="_blank" >10.1007/978-3-319-04298-5_4</a>
Alternative languages
Result language
angličtina
Original language name
Matching of Images of Non-planar Objects with View Synthesis
Original language description
We explore the performance of the recently proposed two-view image matchin g algorithms using affine view synthesis ASIFT (Morel and Yu, 2009) [14] and MODS (Mishkin, Perdoch and Matas, 2013) [10] on images of objects that do not have significant local texture and that are l ocally not well approximated by planes. Experiments show that view synthesis improves matching resul ts on images of such objects, but the number of useful synthetic views is lower than for planar objects matching. The best detectorfor matching images of 3D objects is the Hessian-Affine in the Sparse configuration. The iterative MODS matcher performs comparably confirming it is a robust, generic method for two view matching that performs well for different types of scenes and a wide range of viewing conditions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SOFSEM 2014: Theory and Practice of Computer Science
ISBN
978-3-319-04297-8
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
30-39
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
High Tatras
Event date
Jan 26, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000342283300004