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Stereo correspondence estimation using multiwavelets scale-space representation-based multiresolution analysis

journal contribution
posted on 2008-08-01, 00:00 authored by Asim BhattiAsim Bhatti, Saeid NahavandiSaeid Nahavandi
A multiresolution technique based on multiwavelets scale-space representation for stereo correspondence estimation is presented. The technique uses the well-known coarse-to-fine strategy, involving the calculation of stereo correspondences at the coarsest resolution level with consequent refinement up to the finest level. Vector coefficients of the multiwavelets transform modulus are used as corresponding 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. The problems of ambiguity, explicitly, and occlusion, implicitly, are addressed by using a geometric topological refinement procedure. Geometric refinement is based on a symbolic tagging procedure introduced to keep only the most consistent matches in consideration. Symbolic tagging is performed based on probability of occurrence and multiple thresholds. The whole procedure is constrained by the uniqueness and continuity of the corresponding stereo features. The comparative performance of the proposed algorithm with eight famous existing algorithms, presented in the literature, is shown to validate the claims of promising performance of the proposed algorithm.

History

Journal

Cybernetics and systems

Volume

39

Issue

6

Pagination

641 - 665

Publisher

Taylor & Francis

Location

Abingdon, England

ISSN

0196-9722

eISSN

1087-6553

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2008, Taylor & Francis