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Title |
A Review of Facial Expression Recognition Issues, Challenges, and Future Research Direction |
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Author |
Yan Bowen, Azween Abdullah, Lorita Angeline, and S.H. Kok |
| Citation |
Vol. 23 No. 1 pp. 125-139 |
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Abstract |
Facial expression recognition, a topical problem in the field of computer vision and pattern recognition, is a direct means of recognizing human emotions and behaviors. This paper first summarizes the datasets commonly used for expression recognition and their associated characteristics and presents traditional machine learning algorithms and their benefits and drawbacks from three key techniques of face expression; image pre-processing, feature extraction, and expression classification. Deep learning-oriented expression recognition methods and various algorithmic framework performances are also analyzed and compared. Finally, the current barriers to facial expression recognition and potential developments are highlighted. |
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Keywords |
Facial expression recognition; image pre-processing; feature extraction; machine learning; deep learning |
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