2D facial expression recognition via 3D reconstruction and feature fusion
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- 作者：Ali Moeinia ; ali.moeini1989@gmail.com" class="auth_mail" title="E-mail the corresponding author ; ali.moeini.ir@ieee.org" class="auth_mail" title="E-mail the corresponding author ; Karim Faeza ; Hamid Sadeghia ; Hossein Moeinib
- 关键词：Facial expression recognition ; Facial expression generic elastic model ; 3D local binary pattern ; Local normal binary pattern ; Expression-invariant 3D face reconstruction ; Local binary pattern ; Feature fusion ; 2D and 3D features
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：35
- 期：Complete
- 页码：1-14
- 全文大小：3134 K
文摘
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This paper proposed a method for facial expression recognition.
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In proposed method, facial depth has been added to facial texture for feature extraction.
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We demonstrated that adding the facial depth to feature extraction is effective.
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The 3DH-LLBP is proposed for feature extraction from facial depth images.
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2D facial expression recognition is performed by combination of 2D and 3D features through feature fusion.