Computationally efficient wavelet affine invariant functions for shape recognition
Date
2004Source Title
IEEE Transactions on Pattern Analysis and Machine Intelligence
Print ISSN
0162-8828
Publisher
IEEE
Volume
26
Issue
8
Pages
1095 - 1099
Language
English
Type
ArticleItem Usage Stats
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Abstract
An affine invariant function for object recognition is constructed from wavelet coefficients of the object boundary. In previous works, undecimated dyadic wavelet transform was used to construct affine invariant functions. In this paper, an algorithm based on decimated wavelet transform is developed to compute an affine invariant function. As a result computational complexity is reduced without decreasing recognition performance. Experimental results are presented. © 2004 IEEE.
Keywords
AlgorithmsApproximation theory
Computational complexity
Computer simulation
Correlation methods
Image analysis
Matrix algebra
Wavelet transforms
Affine transformation
Computational efficiency
Decimated wavelet transform
Shape recognition
Object recognition