Title :
Affine invariant object recognition using dyadic wavelet transform
Author :
Khalil, Mahmoud I. ; Bayoumi, Mohamed M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
This paper presents an efficient technique of recognizing planar objects under affine transformation. This technique is based on analyzing the object boundary using the dyadic wavelet transform. Two invariant functions are derived using different dyadic levels. Experimental results show that these invariant functions are more efficient than some traditional methods. In addition, these invariant functions are stable to perspective transformation
Keywords :
edge detection; object recognition; wavelet transforms; affine invariant object recognition; discrete wavelet transform; dyadic wavelet transform; experimental results; image capture; invariant functions; object boundary analysis; perspective transformation; planar object recognition; Discrete transforms; Discrete wavelet transforms; Earth; Equations; Jacobian matrices; Object recognition; Remote sensing; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Electrical and Computer Engineering, 2000 Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-5957-7
DOI :
10.1109/CCECE.2000.849743
