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Proceedings Paper

Perspective invariant function using dyadic wavelet transform
Author(s): Mahmoud I. Khalil; Mohamed M. Bayoumi
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Paper Abstract

A perspective invariant function has been derived. It is based on analyzing the object boundary using the dyadic wavelet transform. Five dyadic wavelet transfer levels are used to define the invariant function. The selection of the dyadic levels is discussed. Experimental results test the recognition power of the proposed invariant function. In addition, the stability of the invariant function is examined.

Paper Details

Date Published: 4 December 2000
PDF: 9 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408590
Show Author Affiliations
Mahmoud I. Khalil, Queen's Univ. (Canada)
Mohamed M. Bayoumi, Queen's Univ. (Canada)

Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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