Face Recognition Using Composite Features Based on Discriminant Analysis

Extracting holistic features from the whole face and extracting the local features from the sub-image have pros and cons depending on the conditions. In order to effectively utilize the strengths of various types of holistic features and local features while also complementing each weakness, we prop...

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Veröffentlicht in:	IEEE access 2018-01, Vol.6, p.13663-13670
Hauptverfasser:	Choi, Sang-Il, Lee, Sung-Sin, Choi, Sang Tae, Shin, Won-Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Composite feature Data mining Discriminant analysis Face Face recognition Feature extraction Feature recognition feature selection holistic-feature local-feature Nose Null space Object recognition
Online-Zugang:	Volltext
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