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3D sparse feature model using short baseline stereo and multiple view registration

Watson, Matthew, Bhatti, Asim and Nahavandi, Saeid 2011, 3D sparse feature model using short baseline stereo and multiple view registration, in ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical Sectors, [ICMT], [Melbourne, Vic.], pp. 1-4.

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Title 3D sparse feature model using short baseline stereo and multiple view registration
Author(s) Watson, Matthew
Bhatti, AsimORCID iD for Bhatti, Asim orcid.org/0000-0001-6876-1437
Nahavandi, Saeid
Conference name International Conference on Mechatronics Technology (15th : 2011 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 30 Nov.-2 Dec. 2011
Title of proceedings ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical Sectors
Editor(s) [Unknown]
Publication date 2011
Conference series International Conference on Mechatronics Technology
Start page 1
End page 4
Total pages 4
Publisher [ICMT]
Place of publication [Melbourne, Vic.]
Keyword(s) augmented reality
a-priori
multi-view
Summary This paper outlines a methodology to generate a distinctive object representation offline, using short-baseline stereo fundamentals to triangulate highly descriptive object features in multiple pairs of stereo images. A group of sparse 2.5D perspective views are built and the multiple views are then fused into a single sparse 3D model using a common 3D shape registration technique. Having prior knowledge, such as the proposed sparse feature model, is useful when detecting an object and estimating its pose for real-time systems like augmented reality.
ISBN 9780732640187
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2011, International Conference on Mechatronics Technology
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042215

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.