A crucial part for facial expression analysis is to capture a face deformation. In this work, we are interested by the employment of 3D facial surface normals (3DFSN) to classify six basic facial expressions and the proposed approach was employed on the Bosphorus database. We constructed a Principal Component Analysis (PCA) to capture variations in facial shape due to changes in expressions usi...

Facial expressions are the facial changes in response to a person’s internal emotional states, intentions, or social communications. Facial expression analysis has been an active research topic for behavioral scientists since the work of Darwin in 1872 [18, 22, 25, 71]. Suwa et al. [76] presented an early attempt to automatically analyze facial expressions by tracking the motion of 20 identifie...

Facial expression recognition is a challenging problem in many areas such as computer vision and humancomputer interaction. To extract an effective facial features and then to classify them are the best important points of facial expression recognition process. In this article, a new automatic facial expression recognition algorithm is proposed in order to further enhance the recognition perfor...

The face is one of the most powerful channels of nonverbal communication. Facial expression provides cues about emotion, intention, alertness, pain, personality, regulates interpersonal behavior, and communicates psychiatric and biomedical status among other functions. Within the past 15 years, there has been increasing interest in automated facial expression analysis within the computer vision...

The goal of the study is to investigate cultural differences in avatar expression evaluation and apply findings from psychological study in human facial expression recognition. Our previous study using Japanese designed avatars showed there are cultural differences in interpreting avatar facial expressions, and the psychological theory that suggests physical proximity affects facial expression ...

Facial expression recognition (FER) requires better descriptors to represent the face patterns as facial region changes due movement of muscles during an expression. In this paper, a method concatenating spatial pyramid Zernike moments based shape features and Law’s texture is proposed uniquely capture macro micro details each The employs multilayer perceptron radial basis function feed forward...