Title :
Computationally efficient wavelet affine invariant functions for shape recognition
Author :
Bala, Erdem ; Cetin, A. Enis
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Abstract :
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.
Keywords :
computational complexity; object recognition; wavelet transforms; computational complexity; object recognition; shape recognition; undecimated dyadic wavelet transform; wavelet affine invariant functions; wavelet coefficients; Computational complexity; Discrete wavelet transforms; Filter bank; Jacobian matrices; Object recognition; Shape; Signal resolution; Transmission line matrix methods; Wavelet coefficients; Wavelet transforms; Affine transformation; computational efficiency.; decimated wavelet transform; shape recognition; Algorithms; Artificial Intelligence; Cluster Analysis; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2004.39
