Computationally efficient wavelet affine invariant functions for shape recognition

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Computationally efficient wavelet affine invariant functions for 2D object recognition.pdf (254.71 KB)

Date

2004

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Source Title

IEEE Transactions on Pattern Analysis and Machine Intelligence

Print ISSN

0162-8828

Electronic ISSN

Publisher

IEEE

Volume

26

Issue

8

Pages

1095 - 1099

Language

English

Type

Article

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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.

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Keywords

Algorithms , Approximation theory , Computational complexity , Computer simulation , Correlation methods , Image analysis , Matrix algebra , Wavelet transforms , Affine transformation , Computational efficiency , Decimated wavelet transform , Shape recognition , Object recognition

Citation

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http://hdl.handle.net/11693/24244

item.page.isversionof

http://dx.doi.org/10.1109/TPAMI.2004.39

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Department of Electrical and Electronics Engineering