3-D Object Retrieval And Recognition With Hypergraph Analysis

Gao, Y; Wang, M; Tao, D; Ji, R; Dai, Q

3-D Object Retrieval And Recognition With Hypergraph Analysis

Gao, Y Wang, M Tao, D Ji, R Dai, Q

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Publisher:: IEEE-inst Electrical Electronics Engineers Inc
Publication Type:: Journal Article
Citation:: IEEE Transactions On Image Processing, 2012, 21 (9), pp. 4290 - 4303
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Gao, Y	en_US
dc.contributor.author	Wang, M	en_US
dc.contributor.author	Tao, D	en_US
dc.contributor.author	Ji, R	en_US
dc.contributor.author	Dai, Q	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	IEEE Transactions On Image Processing, 2012, 21 (9), pp. 4290 - 4303	en_US
dc.identifier.issn	1057-7149	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30873
dc.description.abstract	View-based 3-D object retrieval and recognition has become popular in practice, e. g., in computer aided design. It is difficult to precisely estimate the distance between two objects represented by multiple views. Thus, current view-based 3-D object ret	en_US
dc.publisher	IEEE-inst Electrical Electronics Engineers Inc	en_US
dc.relation.ispartof	IEEE Transactions On Image Processing	en_US
dc.relation.isbasedon	10.1109/TIP.2012.2199502	en_US
dc.rights	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	3-D Object Retrieval And Recognition With Hypergraph Analysis	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	21	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0801 Artificial Intelligence And Image Processing	en_US
utslib.for	0906 Electrical And Electronic Engineering	en_US
utslib.for	1702 Cognitive Science	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/Strength - AAI - Advanced Analytics Research Centre
pubs.organisational-group	/University of Technology Sydney/Strength - QCIS - Quantum Computation and Intelligent Systems
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	9	en_US
pubs.volume	21	en_US

Abstract:

View-based 3-D object retrieval and recognition has become popular in practice, e. g., in computer aided design. It is difficult to precisely estimate the distance between two objects represented by multiple views. Thus, current view-based 3-D object ret

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http://hdl.handle.net/10453/30873