Automatic facial expression recognition (FER) is becoming increasingly important in the
area of affective computing systems because of its various emerging applications such as …

This paper presents an effective and efficient approach based on simulating the information
processing procedure of the biological visual system to solve the occlusion problem in facial …

In this paper, a new method for facial expression classification is proposed, which uses the
histograms of oriented gradients (HOG) algorithm to extract facial expression features and …

Recently the sparse representation based classification (SRC) is successfully used to
automatically recognize facial expression, well-known for its ability to solve occlusion and …

In this paper, we present a facial expression recognition method based on Gabor feature
and sparse representation. Sparse Representation based Classification (SRC) has been …

Ship tracking plays a key role in inland waterway closed circuit television (CCTV) video
surveillance. Although much success has been demonstrated in the construction of effective …

This study models facial expression recognition with a sparse representation classification
(SRC) method. By analysing SRC's robustness to noise, this study further proposes an SRC …

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得到P 缩感知观测值% 然后引人S 息认证T 算法% 利用观测值得到图QU 要% 把图QU …

We develop a new method to recognize facial expressions. Sparse representation based
classification (SRC) is used as the classifier in this method, because of its robustness to …

In recent years, the growing attention in the study of the compressive sensing (CS) theory
suggested a novel classification algorithm called sparse representation‐based classifier …