Computationally efficient wavelet affine invariant functions for shape recognition

Erdem Bala, A Enis Cetin
IEEE Transactions on Pattern Analysis and Machine Intelligence 2004, 26 (8): 1095-9
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.

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