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Joint Geometric Verification and Ranking using Multi-View Vocabulary Trees for Mobile 3D Visual Search
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7807-5681
2015 (English)In: Data Compression Conference Proceedings, 2015Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

This paper proposes multi-view vocabulary trees for mobile 3D visual search. We generate hierarchically structured multi-view features and construct a multi-view vocabulary tree from the multi-view images. As the 3D geometry information is incorporated in the multi-view vocabulary tree, it allows us to design an algorithm forfast 3D geometric verification at low computational complexity. With that, we devise an iterative algorithm that accomplishes jointly matching and geometric verification. The experimental results show that our joint approach to matching and verification improves the recall-datarate performance as well as the subjective ranking results for mobile 3D visual search.

Place, publisher, year, edition, pages
2015.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-159581DOI: 10.1109/DCC.2015.82ISI: 000380409800066Scopus ID: 2-s2.0-84938925567ISBN: 978-147998430-5 (print)OAI: oai:DiVA.org:kth-159581DiVA: diva2:785860
Conference
Data Compression Conference; Snowbird, Utah, April 7 - 9, 2015
Note

QC 20150331

Available from: 2015-02-04 Created: 2015-02-04 Last updated: 2016-08-23Bibliographically approved

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Flierl, Markus

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf