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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 Nahavandi, Mohammed HossnyCorrespondence 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.
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Event
IEEE International Conference on Control, Automation, Robotics & Vision (11th : 2010 : Singapore)Pagination
1725 - 1730Publisher
IEEELocation
SingaporePlace of publication
Piscataway, N.J.Start date
2010-12-07End date
2010-12-10Language
engNotes
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E1 Full written paper - refereedCopyright notice
2010, IEEETitle of proceedings
ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and VisionUsage metrics
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