Cristian V. Serdean

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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(More)
This paper investigates the efficiency of unbalanced versus balanced multiwavelets in stereo correspondence matching. A multiwavelet transform is first applied to a pair of stereo images to decorrelate them into a number of subbands. Information in the approximation subbands of an unbalanced multiwavelet carries different spectral content of the input image(More)
This paper presents a hierarchical stereo correspondence matching technique based on multiwavelet transforms. A global error energy minimization technique is employed to generate a disparity map for each of the four multiwavelet approximation subband pairs. The information in the four disparity maps is then combined using a Fuzzy algorithm to generate a(More)
This paper presents an evaluation of different types and families of multiwavelets in stereo correspondence matching. Different multiwavelet families with different filter types such as balanced versus unbalanced, symmetricsymmetric versus symmetric-antisymmetric are used. Normalized cross correlation is employed to find the best correspondence points and(More)
this paper presents a novel multiwavelet-based stereo correspondence matching technique. A multiwavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximation (baseband) and detail subbands. Information in the basebands is less sensitive to shift variability of the multiwavelet transform. Basebands of(More)
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