Super-resolution of a 3-dimensional scene from novel viewpoints Nelson, Kyle, Bhatti, Asim and Nahavandi, Saeid 2012, Super-resolution of a 3-dimensional scene from novel viewpoints, in ICARCV 2012 : Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision, IEEE, Piscataway, N.J., pp. 1380-1385. Attached Files Name Description MIMEType Size Downloads Title Super-resolution of a 3-dimensional scene from novel viewpoints Author(s) Nelson, Kyle orcid.org/0000-0003-1956-5493 Bhatti, Asim orcid.org/0000-0001-6876-1437 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Control, Automation, Robotics and Vision. Conference (12th : 2012 : Guangzhou, China) Conference location Guangzhou, China Conference dates 5-7 Dec. 2012 Title of proceedings ICARCV 2012 : Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision Editor(s) [Unknown] Publication date 2012 Conference series Control, Automation, Robotics and Vision Conference Start page 1380 End page 1385 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) super-resolution 3-dimensional multi-view uncalibrated camera novel view sparse reconstruction Summary Super-resolution is a method of post-processing image enhancement that increases the spatial resolution of video or images. Existing super-resolution techniques apply only to images captured of a planar scene. This paper aims to extend super-resolution concepts from the 2D domain to the 3D domain, drawing on ideas from both superresolution and multi-view geometry, two fields of research that until now have predominantly been studied in isolation. 2D super-resolution methods are not without their complexities and limitations. However, once multiple views of a scene are considered within a super-resolution framework, a new range of issues arise that must also be resolved. For example, when input images of a scene with variation in depth are considered, it is no longer clear how and where the images should be registered. This paper describes the use of sparse 3D reconstruction in order to ‘register’ the input images, which are then transferred to a novel image plane and combined to increase the perceived detail in the scene. Experimental results using real images captured from generally positioned input cameras are presented. ISBN 9781467318723 Field of Research 080106 Image Processing Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Copyright notice ©2012, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30050964 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 05 Mar 2013, 14:52:45 EST Mon, 15 Apr 2013, 12:11:23 EST Tue, 16 Apr 2013, 08:36:07 EST Wed, 17 Apr 2013, 09:39:46 EST Mon, 22 Apr 2013, 10:00:48 EST Wed, 05 Jun 2013, 19:47:26 EST Thu, 06 Jun 2013, 08:37:15 EST Thu, 06 Jun 2013, 08:40:09 EST Wed, 27 Aug 2014, 23:21:45 EST Wed, 21 Oct 2015, 14:40:41 EST Wed, 21 Oct 2015, 18:01:18 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 654 Abstract Views, 8 File Downloads  -  Detailed Statistics Created: Tue, 05 Mar 2013, 14:52:45 EST

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