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Adaptive Multiscale Stereo Images Matching Based on Wavelet Transform Modulus Maxima
Abdelhak EZZINE, Youssef Yazidi Alaoui, Achraf Cohen
Pages - 373 - 379     |    Revised - 15-09-2012     |    Published - 24-10-2012
Volume - 6   Issue - 5    |    Publication Date - October 2012  Table of Contents
Maxima modulus, Stereo matching, Wavelet transform, Maxima modulus chains.
In this paper we propose a multiscale stereo correspondence matching method based on wavelets transform modulus maxima. Exploitation of maxima modulus chains has given us the opportunity to refine the search for corresponding. Based on the wavelet transform we construct maps of modules and phases for different scales, then extracted the maxima and then we build chains of maxima. Points constituents maxima modulus chains will be considered as points of interest in matching processes. The availability of all its multiscale information, allows searching under geometric constraints, for each point of interest in the left image corresponding one of the best points of constituent chains of the right image. The experiment results demonstrate that the number of corresponding has a very clear decrease when the scale increases. In several tests we obtained the uniqueness of the corresponding by browsing through the fine to coarse scales and calculations remain very reasonable. Abdelhak EZZINE aezzine@uae.ac.ma 39 imm serghiniya Rue liban ENSAT/ SIC/LABTIC Abdelmalek ESSAADI University Tangier, 99000, Morocco
CITED BY (1)  
1 Zadeh, P. B., & Akbari, A. S. Multi-Wavelet based Stereo Correspondence Matching using Covariance and Enhanced Normalized Cross Correlation.
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Dr. Abdelhak EZZINE
- Morocco
Dr. Youssef Yazidi Alaoui
- Morocco
Dr. Achraf Cohen
- Morocco