Affine invariants for object recognition using the wavelet transform

被引：42

作者：

Khalil, MI ^{[1
]}

Bayoumi, MA ^{[1
]}

机构：

[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada

来源：

PATTERN RECOGNITION LETTERS | 2002年 / 23卷 / 1-3期

关键词：

affine transformation; dyadic wavelet transform; planar object recognition; invariant features;

D O I：

10.1016/S0167-8655(01)00102-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Dyadic wavelet transform has been used to derive affine invariant functions. The invariant functions are based on the dyadic wavelet transform of the object boundary. Three invariant functions have been calculated using different numbers of dyadic levels. Experimental results show that these invariant functions outperform some traditional invariant functions. The stability of these invariant functions have been tested for a large perspective transformation. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：57 / 72

页数：16

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