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Issue No.08 - August (2004 vol.26)
pp: 1095-1099
Erdem Bala , IEEE
ABSTRACT
<p><b>Abstract</b>—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.</p>
INDEX TERMS
Affine transformation, decimated wavelet transform, shape recognition, computational efficiency.
CITATION
Erdem Bala, "Computationally Efficient Wavelet Affine Invariant Functions for Shape Recognition", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.26, no. 8, pp. 1095-1099, August 2004, doi:10.1109/TPAMI.2004.39
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