Face Recognition based on Deep Sparse Representation Classification

碩士 === 國立交通大學 === 電控工程研究所 === 103 === Feature extraction is the key factor in real-world pattern recognition and classification tasks. Accuracy of face recognition highly depends on features extracted to represent a face. The traditional algorithms, such as geometric techniques, use feature values i...

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Bibliographic Details
Main Authors: Jin, Bo-Hao, 金博昊
Other Authors: Lin, Chin-Teng
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/s7ub68