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GEOMETRY-BASED RANKING FOR MOBILE 3D VISUAL SEARCH USING HIERARCHICALLY STRUCTURED MULTI-VIEW FEATURES
KTH, School of Electrical Engineering (EES).
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES).
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7807-5681
2015 (English)In: 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE Computer Society, 2015, 3077-3081 p.Conference paper (Refereed)Text
Abstract [en]

This paper proposes geometry-based ranking for mobile 3D visual search. It utilizes the underlying geometry of the 3D objects as well as the appearance to improve the ranking results. A double hierarchy has been embedded in the data structure, namely the hierarchically structured multi-view features for each object and a tree hierarchy from multi-view vocabulary trees. As the 3D geometry information is incorporated in the multi-view vocabulary tree, it allows us to evaluate the consistency of the 3D geometry at low computational complexity. Thus, a cost function is proposed for object ranking using geometric consistency. With that, we devise an iterative algorithm that accomplishes 3D geometry-based ranking. The experimental results show that our 3D geometry-based ranking improves the recall-datarate performance as well as the subjective ranking results for mobile 3D visual search.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015. 3077-3081 p.
Series
, IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:kth:diva-186579DOI: 10.1109/ICIP.2015.7351369ISI: 000371977803041ScopusID: 2-s2.0-84956624199ISBN: 978-1-4799-8339-1OAI: oai:DiVA.org:kth-186579DiVA: diva2:927995
Conference
IEEE International Conference on Image Processing (ICIP), SEP 27-30, 2015, Quebec City, CANADA
Note

QC 20160513

Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2016-05-31Bibliographically approved

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Wu, HanweiLi, HaopengFlierl, Markus
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