Affine invariants for object recognition using the wavelet transform

Authors:
Mahmoud I. Khalil;Mohamed M. Bayoumi
Affiliations:
Department of Electrical and Computer Engineering, Queen's University, Kingston, Ont., Canada K7L-3N6;Department of Electrical and Computer Engineering, Queen's University, Kingston, Ont., Canada K7L-3N6
Venue:
Pattern Recognition Letters
Year:
2002

Citing 11
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Abstract

Dyadic wavelet transform has been used to derive affine invariant functions. The invariant functions are based on the dyadic wavelet transform of the object boundary. Three invariant functions have been calculated using different numbers of dyadic levels. Experimental results show that these invariant functions outperform some traditional invariant functions. The stability of these invariant functions have been tested for a large perspective transformation.