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Wavelets/multiwavelets bases and correspondence estimation problem : an analytic study

conference contribution
posted on 2010-01-01, 00:00 authored by Asim BhattiAsim Bhatti, Saeid NahavandiSaeid Nahavandi, Mohammed Hossny
Correspondence estimation in one of the most active research areas in the field of computer vision and number of techniques has been proposed, possessing both advantages and shortcomings. Among the techniques reported, multiresolution analysis based stereo correspondence estimation has gained lot of research focus in recent years. Although, the most widely employed medium for multiresolution analysis is wavelets and multiwavelets bases, however, relatively little work has been reported in this context. In this work we have tried to address some of the issues regarding the work done in this domain and the inherited shortcomings. In the light of these shortcomings, we propose a new technique to overcome some of the flaws that could have significantly impact on the algorithm performance and has not been addressed in the earlier propositions. Proposed algorithm uses multiresolution analysis enforced with wavelets/multiwavelts transform modulus maxima to establish correspondences between the stereo pair of images. Variety of wavelets and multiwavelets bases, possessing distinct properties such as orthogonality, approximation order, short support and shape are employed to analyse their effect on the performance of correspondence estimation. The idea is to provide knowledge base to understand and establish relationships between wavelets and multiwavelets properties and their effect on the quality of stereo correspondence estimation.



IEEE International Conference on Control, Automation, Robotics & Vision (11th : 2010 : Singapore)


1725 - 1730





Place of publication

Piscataway, N.J.

Start date


End date





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Publication classification

E1 Full written paper - refereed

Copyright notice

2010, IEEE

Title of proceedings

ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision