From Single Image Query to Detailed 3D Reconstruction

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235501" target="_blank" >RIV/68407700:21230/15:00235501 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
From Single Image Query to Detailed 3D Reconstruction
Original language description
Structure-from-Motion for unordered image collections has significantly advance d in scale over the last decade. This impressive progress can be in part attributed to the in troduction of efficient retrieval methods for those systems. While this boosts scalability, i t also limits the amount of detail that the large-scale reconstruction systems are able to pr oduce. In this paper, we propose a joint reconstruction and retrieval system that maintains t he scalability of large-scale Structure-from-Motionsystems while also recovering the often l ost ability of reconstructing fine details of the scene. We demonstrate our proposed method o n a large-scale dataset of 7.4 million images downloaded from the Internet.
Czech name
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Czech description
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Project
<a href="/en/project/LL1303" target="_blank" >LL1303: Large Scale Category Retrieval</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CVPR 2015: Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4673-6964-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
5126-5134
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Boston
Event date
Jun 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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