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Kim et al., 2017 - Google Patents

Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition

Kim et al., 2017

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Document ID
11834093992256810099
Author
Kim D
Baddar W
Jang J
Ro Y
Publication year
Publication venue
IEEE Transactions on Affective Computing

External Links

Snippet

Facial expression recognition (FER) is increasingly gaining importance in various emerging affective computing applications. In practice, achieving accurate FER is challenging due to the large amount of inter-personal variations such as expression intensity variations. In this …
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