基于DT-CWT特征的有监督核ONPP人脸识别

2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007) Pub Date : 2007-12-15 DOI:10.1109/CIS.WORKSHOPS.2007.204

Yuehui Sun

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引用次数: 4

摘要

提出了一种新的DT-CWT特征核人脸识别方法。这涉及到在特征提取阶段使用DT-CWT对人脸图像进行变换，然后将监督核正交邻域保持投影(ONPP)自动应用于特征向量。数值实验说明了我们的算法的性能，并与一些竞争的方法进行了比较。

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DT-CWT Feature Based Face Recognition Using Supervised Kernel ONPP

A novel DT-CWT feature-kernel face recognition method is proposed in this paper. This involves transforming a face image with DT-CWT on feature extraction stage, and supervised kernel Orthogonal Neighborhood Preserving Projections (ONPP) being then automatically applied to the feature vectors. Numerical experiments are reported to illustrate the performance of our algorithm and to compare it with a few competing methods.

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2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)

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