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An Evaluation Of Multiwavelet Families For Stereo Correspondence Matching

Authors:
Pooneh Bagheri Zadeh
Cristian Serdean

Keywords: Multiwavelets; stereo correspondence matching; normalized cross correlation

Abstract:
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, symmetric-symmetric versus symmetric-antisymmetric are used. Normalized cross correlation is employed to find the best correspondence points and generate a disparity map. In the case of balanced multiwavelets, due to similar spectral content of the four generated low frequency subbands, they are shuffled to form a single baseband and then this baseband is used to generate a disparity map. However, in the case of unbalanced multiwavelets, the resulting basebands are used to form four disparity maps and then these maps are combined using a Fuzzy algorithm to generate a single disparity map. Middlebury stereo test images are used to generate experimental results. Results show that the unbalanced multiwavelets produce a smoother disparity map with less mismatch errors compared to balanced multiwavelets.

Pages: 41 to 45

Copyright: Copyright (c) IARIA, 2011

Publication date: April 17, 2011

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-127-4

Location: Budapest, Hungary

Dates: from April 17, 2011 to April 22, 2011