Openly accessible

Stereo image matching using wavelet scale-space representation

Bhatti, Asim and Nahavandi, Saeid 2006, Stereo image matching using wavelet scale-space representation, in CGIV 2006 : Proceedings of the 2006 International Conference on Computer Graphics, Imaging and Visualisation, IEEE Computer Society, Los Alamitos, Calif., pp. 267-272, doi: 10.1109/CGIV.2006.80.

Attached Files
Name Description MIMEType Size Downloads
bhatti-stereoimage-2006.pdf Published version application/pdf 292.95KB 228

Title Stereo image matching using wavelet scale-space representation
Author(s) Bhatti, AsimORCID iD for Bhatti, Asim orcid.org/0000-0001-6876-1437
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name International Conference on Computer Graphics, Imaging and Visualisation (2006 : Sydney, New South Wales)
Conference location Sydney, New South Wales
Conference dates 26-28 July 2006
Title of proceedings CGIV 2006 : Proceedings of the 2006 International Conference on Computer Graphics, Imaging and Visualisation
Editor(s) [Unknown]
Publication date 2006
Conference series Computer Graphics, Imaging and Visualisation Conference
Start page 267
End page 272
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Summary A multi-resolution technique for matching a stereo pair of images based on translation invariant discrete multi-wavelet transform is presented. The technique 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 modulus maxima defines the shift invariant high-level features (multiscale edges) 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. Illuminative variation that can exist between the perspective views of the same scene is controlled using scale normalization at each decomposition level by dividing the details space coefficients with approximation space and then using normalized correlation. The problem of ambiguity, explicitly, and occlusion, implicitly, is addressed by using a geometric topological refinement procedure and symbolic tagging.
Notes ©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 9780769526065
0769526063
Language eng
DOI 10.1109/CGIV.2006.80
Field of Research 080103 Computer Graphics
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2006, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30026521

Connect to link resolver
 
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
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 5 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 721 Abstract Views, 243 File Downloads  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 08:31:14 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.