An algorithm based on the dyadic wavelet transform and complex Daubechies wavelets to recognise a planar object undergoing a general affine transformation is presented. The affine transformation most appropriately represents shape distortions arising from observing an object by a camera under arbitrary orientations. The proposed algorithm includes two steps: constructing the representation and the matching process. Experimental results show that the representation is robust and combined with the matching algorithm, it efficiently classifies unknown objects.<>
Complex Daubechies wavelet based affine invariant representation for object recognition
Proceedings of 1st International Conference on Image Processing ; 1 ; 198-202 vol.1
1994-01-01
497084 byte
Conference paper
Electronic Resource
English
Complex Daubechies Wavelet Based Affine Invariant Representation for Object Recognition
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