Face recognition using the weighted fractal neighbor distance

被引：17
|
作者：
Tan, T [1 ]
Yan, H
机构：
[1] Univ Sydney, Sydney, NSW 2006, Australia
[2] City Univ Hong Kong, Kowloon, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS | 2005年 / 35卷 / 04期
关键词：
face recognition; fractal image coding; fractal neighbor distance; weighted fractal neighbor distance;
D O I：
10.1109/TSMCC.2004.840033
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a method for performing face recognition based on the fractal neighbor distance (FND). The FND has previously been used for face recognition. What distinguishes our method from others is that we incorporate the use of localized weights with the FND. In a local-to-global feature matching approach, a set of localized weights is used with an algorithm based on the FND that searches for local features. A, global score is then derived from each localized score. This set of weights is designed to concentrate around the eyes and nose region of the face, because they contain more discriminating features.
引用
收藏
页码：576 / 582
页数：7
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