Paper
4 March 2015 Combining appearance and geometric features for facial expression recognition
Hui Yu, Honghai Liu
Author Affiliations +
Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944308 (2015) https://doi.org/10.1117/12.2179066
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
This paper introduces a method for facial expression recognition combining appearance and geometric facial features. The proposed framework consistently combines multiple facial representations at both global and local levels. First, covariance descriptors are computed to represent regional features combining various feature information with a low dimensionality. Then geometric features are detected to provide a general facial movement description of the facial expression. These appearance and geometric features are combined to form a vector representation of the facial expression. The proposed method is tested on the CK+ database and shows encouraging performance.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Yu and Honghai Liu "Combining appearance and geometric features for facial expression recognition", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944308 (4 March 2015); https://doi.org/10.1117/12.2179066
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Facial recognition systems

Databases

Analytical research

Distance measurement

Image filtering

Independent component analysis

Matrices

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