Multi-View Reconstruction Preserving Weakly-Supported Surfaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187133" target="_blank" >RIV/68407700:21230/11:00187133 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPR.2011.5995693" target="_blank" >http://dx.doi.org/10.1109/CVPR.2011.5995693</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2011.5995693" target="_blank" >10.1109/CVPR.2011.5995693</a>
Alternative languages
Result language
angličtina
Original language name
Multi-View Reconstruction Preserving Weakly-Supported Surfaces
Original language description
We propose a novel method for the multi-view reconstruction problem. Surfaces which do not have direct support in the input 3D point cloud and hence need not be photo-consistent but represent real parts of the scene (e.g. low-textured walls, windows, cars) are important for achieving complete reconstructions. We augmented the existing Labatut CGF 2009 method with the ability to cope with these difficult surfaces just by changing the t-edge weights in the construction of surfaces by a minimal s-t cut. Our method uses Visual-Hull to reconstruct the difficult surfaces which are not sampled densely enough by the input 3D point cloud. We demonstrate importance of these surfaces on several real-world data sets. We compare our improvement to our implementation of the Labatut CGF 2009 method and show that our method can considerably better reconstruct difficult surfaces while preserving thin structures and details in the same quality and computational time.
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
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVPR 2011: Proceedings of the 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4577-0393-5
ISSN
1063-6919
e-ISSN
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Number of pages
8
Pages from-to
3121-3128
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Colorado Springs
Event date
Jun 20, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000295615803051