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. Attached Files Name Description MIMEType Size Downloads watson-3dsparse-2011.pdf Published version application/pdf 962.51KB 83 Title 3D sparse feature model using short baseline stereo and multiple view registration Author(s) Watson, Matthew orcid.org/0000-0003-3556-4546 Bhatti, Asim orcid.org/0000-0001-6876-1437 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 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 Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30042215 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Connect to conference webpage Go to link with your DU access privileges     Link to Related Work 3D sparse feature model using short baseline stereo and multiple view registration (deposited 06-11-2020) International Conference on Mechatronics Technology (ICMT) Publisher (deposited 22-04-2013)   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Tue, 14 Feb 2012, 15:17:54 EST Wed, 14 Mar 2012, 08:18:52 EST Wed, 14 Mar 2012, 08:22:22 EST Tue, 22 May 2012, 11:31:42 EST Tue, 22 May 2012, 11:37:01 EST Wed, 23 May 2012, 09:01:41 EST Mon, 02 Sep 2013, 12:32:44 EST Wed, 27 Aug 2014, 22:53:08 EST Fri, 06 Feb 2015, 10:51:27 EST Tue, 05 Dec 2017, 12:28:54 EST Fri, 07 Sep 2018, 15:43:33 EST Tue, 04 Dec 2018, 11:13:55 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 1007 Abstract Views, 86 File Downloads  -  Detailed Statistics Created: Tue, 14 Feb 2012, 15:17:54 EST

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.