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Generation of 3D sparse feature models using multiple stereo views

Watson, Matthew, Bhatti, Asim, Abdi, Hamid and Nahavandi, Saeid 2012, Generation of 3D sparse feature models using multiple stereo views. In Bhatti, Asim (ed), Current advancements in stereo vision, InTech, Rijeka, Croatia, pp.143-160, doi: 10.5772/45905.

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Title Generation of 3D sparse feature models using multiple stereo views
Author(s) Watson, MatthewORCID iD for Watson, Matthew orcid.org/0000-0003-3556-4546
Bhatti, AsimORCID iD for Bhatti, Asim orcid.org/0000-0001-6876-1437
Abdi, HamidORCID iD for Abdi, Hamid orcid.org/0000-0001-6597-7136
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Title of book Current advancements in stereo vision
Editor(s) Bhatti, Asim
Publication date 2012
Chapter number 7
Total chapters 10
Start page 143
End page 160
Total pages 18
Publisher InTech
Place of Publication Rijeka, Croatia
Summary Augmented Reality (AR) renders virtual information onto objects in the real world. This new user interface paradigm presents a seamless blend of the virtual and real, where the convergence of the two is difficult to discern. However, errors in the registration of the real and virtual worlds are common and often destroy the AR illusion. To achieve accurate and efficient registration, the pose of real objects must be resolved in a quick and precise manner.
Notes This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISBN 9789535106609
Language eng
DOI 10.5772/45905
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
Copyright notice ©2012, InTech
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049538

Document type: Book Chapter
Collections: Centre for Intelligent Systems Research
Open Access Collection
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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.