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Mobile 3D Visual Search using the Helmert Transformation of Stereo Features
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7807-5681
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This work presents a scheme for mobile 3D visual search that facilitates mobile recognition of 3D objects. We use a multi-view approach to extract the 3D geometric information of the query objects and integrate it into SIFT descriptors. To meet a given transmission bandwidth, we use a rate-constrained quad-tree representation for feature selection and encoding. With this approach, we are able to progressively match the query features against the stereo features in the database and implement a robust geometric verification with the Helmert transformation.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-129317DOI: 10.1109/ICIP.2013.6738716ISI: 000351597603114Scopus ID: 2-s2.0-84897802317ISBN: 978-1-4799-2341-0 (print)OAI: oai:DiVA.org:kth-129317DiVA: diva2:651526
Conference
Image Processing (ICIP), 2013 20th IEEE International Conference on
Note

QC 20140317

Available from: 2013-09-26 Created: 2013-09-26 Last updated: 2015-12-08Bibliographically approved

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Flierl, Markus

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  • apa
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  • en-US
  • fi-FI
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  • Other locale
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Output format
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  • asciidoc
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