Improved Real-Time Facial Expression Recognition Based on a Novel Balanced and Symmetric Local Gradient Coding.

Clicks: 276
ID: 110275
2019
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Abstract
In the field of Facial Expression Recognition (FER), traditional local texture coding methods have a low computational complexity, while providing a robust solution with respect to occlusion, illumination, and other factors. However, there is still need for improving the accuracy of these methods while maintaining their real-time nature and low computational complexity. In this paper, we propose a feature-based FER system with a novel local texture coding operator, named central symmetric local gradient coding (CS-LGC), to enhance the performance of real-time systems. It uses four different directional gradients on 5 × 5 grids, and the gradient is computed in the center-symmetric way. The averages of the gradients are used to reduce the sensitivity to noise. These characteristics lead to symmetric of features by the CS-LGC operator, thus providing a better generalization capability in comparison to existing local gradient coding (LGC) variants. The proposed system further transforms the extracted features into an eigen-space using a principal component analysis (PCA) for better representation and less computation; it estimates the intended classes by training an extreme learning machine. The recognition rate for the JAFFE database is 95.24%, whereas that for the CK+ database is 98.33%. The results show that the system has advantages over the existing local texture coding methods.
Reference Key
wang2019sensorsimproved Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jucheng Yang,Xiaojing Wang,Shujie Han,Jie Wang,Dong Sun Park,Yuan Wang;Jucheng Yang;Xiaojing Wang;Shujie Han;Jie Wang;Dong Sun Park;Yuan Wang;
Journal sensors
Year 2019
DOI
10.3390/s19081899
URL
https://sciprofiles.com/publication/view/0520fef20185a842db9fa969e8e6195c
Keywords
feature extraction extreme learning machine face expression recognition local gradient coding central symmetric local gradient coding feature extraction extreme learning machine face expression recognition local gradient coding central symmetric local gradient coding

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