From Dusk till Dawn: Modeling in the Dark

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00303796" target="_blank" >RIV/68407700:21230/16:00303796 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/~radenfil/publications/Radenovic-CVPR16.pdf" target="_blank" >http://cmp.felk.cvut.cz/~radenfil/publications/Radenovic-CVPR16.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2016.592" target="_blank" >10.1109/CVPR.2016.592</a>

Result language
angličtina
Original language name
From Dusk till Dawn: Modeling in the Dark
Original language description
Internet photo collections naturally contain a large variety of illumination conditions, with the largest difference between day and night images. Current modeling techniques do not embrace the broad illumination range often leading to reconstruction failure or severe artifacts. We present an algorithm that leverages the appearance variety to obtain more complete and accurate scene geometry along with consistent multi-illumination appearance information. The proposed method relies on automatic scene appearance grouping, which is used to obtain separate dense 3D models. Subsequent model fusion combines the separate models into a complete and accurate reconstruction of the scene. In addition, we propose a method to derive the appearance information for the model under the different illumination conditions, even for scene parts that are not observed under one illumination condition. To achieve this, we develop a cross-illumination color transfer technique. We evaluate our method on a large variety of landmarks from across Europe reconstructed from a database of 7.4M images.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CVPR 2016: Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4673-8851-1
ISSN
1063-6919
e-ISSN
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Number of pages
9
Pages from-to
5488-5496
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Las Vegas
Event date
Jun 26, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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