Multiwavelets in the Context of Hierarchical Stereo Correspondence Matching Techniques
This paper presents an evaluation of different types and families of multiwavelets in stereo correspondence matching. First, the paper introduces two hierarchical stereo matching techniques based on balanced and respectively unbalanced multiwavelet transforms, which employ normalized cross correlation to search for disparities. Different multiwavelet families, with different properties and filter types are evaluated, such as balanced versus unbalanced multiwavelets and symmetric-symmetric versus symmetric-antisymmetric multiwavelets. Each approximation subband carries a different spectral content of the original image and the information in the basebands of the multiwavelet transform is less sensitive to the shift variability of the multiwavelet transform.