Multi angle optimal pattern-based deep learning for automatic facial expression recognition
•Rectification of problems due to sudden illumination changes and proper alignment of feature set for an effective FER.•Isolation of foreground from the background of an image to facilitate the facial key points extraction.•Elimination of unwanted noise and smoothen by using AMF filtering technique....
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Published in | Pattern recognition letters Vol. 139; pp. 157 - 165 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.11.2020
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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