The Study of Face Recognition Using Block Principal Component Analysis/Block Linear Discriminant Analysis
碩士 === 育達商業科技大學 === 資訊管理所 === 100 === The principal component analysis (PCA) and linear discriminant analysis (LDA) are standards in face recognition. Due to the high dimensional features, Both PCA and LDA face the small sample size problem. To cope with this problem, two-dimensional PCA (2DPCA) was...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/14161173471902189618 |