GEOMETRY-BASED RANKING FOR MOBILE 3D VISUAL SEARCH USING HIERARCHICALLY STRUCTURED MULTI-VIEW FEATURES
2015 (English)In: 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE Computer Society, 2015, 3077-3081 p.Conference paper (Refereed)Text
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.
, IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
IdentifiersURN: 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
IEEE International Conference on Image Processing (ICIP), SEP 27-30, 2015, Quebec City, CANADA
QC 201605132016-05-132016-05-132016-05-31Bibliographically approved