Landmark recognition and retrieval: From 2D to 3D

Xiao, X; Xu, C; Wang, J; Xu, M

Landmark recognition and retrieval: From 2D to 3D

Xiao, X Xu, C Wang, J Xu, M

Permalink

Publication Type:: Conference Proceeding
Citation:: MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - JHGBU 2011 Workshop, J-HGBU'11, 2011, pp. 77 - 78
Issue Date:: 2011-12-01

Closed Access

	Filename	Description	Size
	2011004116OK.pdf		1.31 MB		View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Xiao, X	en_US
dc.contributor.author	Xu, C	en_US
dc.contributor.author	Wang, J	en_US
dc.contributor.author	Xu, M https://orcid.org/0000-0001-9581-8849	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - JHGBU 2011 Workshop, J-HGBU'11, 2011, pp. 77 - 78	en_US
dc.identifier.isbn	9781450309981	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19166
dc.description.abstract	Existing landmark retrieval methods cannot provide a comprehensive solution, by which user can view different angles of landmark. In this paper, we propose a novel approach to reconstruct and retrieve 3D landmark models by direct 2D to 3D matching. In an offline module, firstly, attention-based 3D reconstruction method is proposed to reconstruct sparse 3D landmark models. Secondly, we construct textured 3D landmark model for each sparse 3D landmark model. Finally, a 3D landmark recognizer is built for each landmark based on the 3D landmark model. In online module, query images are recognized by the 3D landmark recognizers using a 2D to 3D matching approach. For each recognized query image, a 3D landmark model and a 3D landmark texture model are presented as a query result. Experimental results demonstrate the effectiveness of our proposed approach.	en_US
dc.relation.ispartof	MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - JHGBU 2011 Workshop, J-HGBU'11	en_US
dc.relation.isbasedon	10.1145/2072572.2072596	en_US
dc.title	Landmark recognition and retrieval: From 2D to 3D	en_US
dc.type	Conference Proceeding
utslib.for	080110 Simulation and Modelling	en_US
dc.location.activity	Scottsdale	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Existing landmark retrieval methods cannot provide a comprehensive solution, by which user can view different angles of landmark. In this paper, we propose a novel approach to reconstruct and retrieve 3D landmark models by direct 2D to 3D matching. In an offline module, firstly, attention-based 3D reconstruction method is proposed to reconstruct sparse 3D landmark models. Secondly, we construct textured 3D landmark model for each sparse 3D landmark model. Finally, a 3D landmark recognizer is built for each landmark based on the 3D landmark model. In online module, query images are recognized by the 3D landmark recognizers using a 2D to 3D matching approach. For each recognized query image, a 3D landmark model and a 3D landmark texture model are presented as a query result. Experimental results demonstrate the effectiveness of our proposed approach.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/19166