A robust feature extraction with optimized DBN-SMO for facial expression recognition

Facial expression is the most common technique is used to convey the expressions of human beings. Due to different ethnicity and age, faces differ from one individual to another so that an automatic facial expression analysis and recognition is a difficult operation. To solve this difficulty, this p...

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Veröffentlicht in:	Multimedia tools and applications Jg. 79; H. 29-30; S. 21487 - 21512
Hauptverfasser:	Vedantham, Ramachandran, Reddy, Edara Sreenivasa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2020 Springer Nature B.V
Schlagworte:	Algorithms Belief networks Computer Communication Networks Computer Science Cost analysis Data Structures and Information Theory Discrete cosine transform Face recognition Feature extraction Multimedia Information Systems Optimization Principal components analysis Robustness Special Purpose and Application-Based Systems Texture recognition Feature extraction FER DCT SMO Deep belief network PCA
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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