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Gender classification from face images using linear discriminant analysis

This study addresses the problem of gender classification using frontal images. We have developed a gender classification with performance superior to existing gender classifiers. The first step is that the face image is projected into a face space via Principal Component Analysis (PCA) to reduce di...

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書目詳細資料
主要作者: Soe Thida.
其他作者: Sung, Eric
格式: Theses and Dissertations
出版: 2008
主題:
在線閱讀:http://hdl.handle.net/10356/3589
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機構: Nanyang Technological University