A multi-wavelet based technique for calculating dense 2D disparity maps from stereo Bhatti, Asim, Nahavandi, Saeid and Frayman, Yakov 2004, A multi-wavelet based technique for calculating dense 2D disparity maps from stereo, in Robotics : trends, principles, and applications : proceedings of the Sixth Biannual World Automation Congress (WAC), ISORA, Seville, Spain, TSI Press, Albuquerque, NM, pp. 1-6. Attached Files Name Description MIMEType Size Downloads bhatti-multiwavelet-2004.pdf Published version application/pdf 456.77KB 98 Title A multi-wavelet based technique for calculating dense 2D disparity maps from stereo Author(s) Bhatti, Asim orcid.org/0000-0001-6876-1437 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Frayman, Yakov Conference name International Symposium on Robotics and Applications (10th : 2004 : Seville, Spain) Conference location Seville, Spain Conference dates 28 June - 1 July 2004 Title of proceedings Robotics : trends, principles, and applications : proceedings of the Sixth Biannual World Automation Congress (WAC), ISORA, Seville, Spain Editor(s) Jamshidi, Mo Ollero, Anibal Foulloy, Laurent Reuter, Mattheius Kamrani, Ali Hata, Yutaka Publication date 2004 Conference series International Symposium on Robotics and Applications Start page 1 End page 6 Publisher TSI Press Place of publication Albuquerque, NM Summary A vision based approach for calculating accurate 3D models of the objects is presented. Generally industrial visual inspection systems capable of accurate 3D depth estimation rely on extra hardware tools like laser scanners or light pattern projectors. These tools improve the accuracy of depth estimation but also make the vision system costly and cumbersome. In the proposed algorithm, depth and dimensional accuracy of the produced 3D depth model depends on the existing reference model instead of the information from extra hardware tools. The proposed algorithm is a simple and cost effective software based approach to achieve accurate 3D depth estimation with minimal hardware involvement. The matching process uses the well-known coarse to fine strategy, involving the calculation of matching points at the coarsest level with consequent refinement up to the finest level. Vector coefficients of the wavelet transform-modulus are used as matching features, where wavelet transform-modulus maxima defines the shift invariant high-level features with phase pointing to the normal of the feature surface. The technique addresses the estimation of optimal corresponding points and the corresponding 2D disparity maps leading to the creation of accurate depth perception model. ISBN 1889335215 9781889335216 Language eng Field of Research 091099 Manufacturing Engineering not elsewhere classified Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Copyright notice ©2004, TSI Press Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30005504 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering and Technology Open Access Collection   Link to Related Work A multi-wavelet based technique for calculating dense 2D disparity maps from stereo (deposited 27-02-2021) TSI Press Publisher (deposited 17-10-2011)   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 Mon, 01 Dec 2008, 08:05:52 EST Mon, 19 Apr 2010, 10:20:55 EST Tue, 08 Jun 2010, 10:27:22 EST Tue, 08 Jun 2010, 10:29:41 EST Thu, 08 Nov 2012, 10:43:56 EST Thu, 22 Nov 2012, 09:03:28 EST Wed, 27 Aug 2014, 21:28:42 EST Fri, 17 Oct 2014, 08:41:52 EST Tue, 05 Dec 2017, 06:16:13 EST Sat, 19 May 2018, 02:30:04 EST Sat, 19 May 2018, 02:33:53 EST Fri, 07 Sep 2018, 18:26:14 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 1214 Abstract Views, 98 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:50:33 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.