Face Recognition Using the Discrete Cosine Transform

被引：1
|
作者：
Ziad M. Hafed
Martin D. Levine
机构：
[1] McGill University,Center for Intelligent Machines
来源：
International Journal of Computer Vision | 2001年 / 43卷
关键词：
Face recognition; discrete cosine transform; Karhunen-Loeve transform; geometric normalization; illumination normalization; feature extraction; data compression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An accurate and robust face recognition system was developed and tested. This system exploits the feature extraction capabilities of the discrete cosine transform (DCT) and invokes certain normalization techniques that increase its robustness to variations in facial geometry and illumination. The method was tested on a variety of available face databases, including one collected at McGill University. The system was shown to perform very well when compared to other approaches.
引用
收藏
页码：167 / 188
页数：21
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