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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.

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Title A multi-wavelet based technique for calculating dense 2D disparity maps from stereo
Author(s) Bhatti, Asim
Nahavandi, Saeid
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
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005504

Document type: Conference Paper
Collections: School of Engineering and Technology
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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.