Facial expression plays a key role in non-verbal face-to-face communication. It is a challenging task to develop an automatic facial expression reading and understanding system, especially, for recognizing the facial expression from a static image without any prior knowledge of the test subject. In this paper, we present a topographic modeling approach to recognize and analyze facial expression...

Humans use their facial expressions as one of the most effective, quick, and natural ways to convey feelings intentions others. In this research, presents analyses human structure along with its components using Facial Action Units (AUs) Geometric structures for identifying expressions. The approach considers such Nose, Mouth, eyes eye brows FER. Nostril contours left lower tip, right centre ti...

Using event-related brain potentials (ERPs), we investigated the time course of facial expression processing in human subjects watching photographs of fearful and neutral faces. Upright fearful faces elicited a frontocentral positivity within 120 ms after stimulus presentation, which was followed by a broadly distributed sustained positivity beyond 250 ms post-stimulus. Emotional expression eff...

Automatic facial expression recognition for novel individuals from 3D face data is a challenging task in pattern analysis. This paper describes a feature selection process for pose-invariant 3D facial expression recognition. The process provides a lower dimensional subspace representation, which is optimized to improve the classification accuracy, retrieved from geometrical localization of faci...

As an important part of artificial intelligence and pattern recognition, facial expression recognition has drawn much attention recently and numerous methods have been proposed. Feature extraction is the most important part which directly affects the final recognition results. Independent component analysis (ICA) is a subspace analysis method, which is also a novel statistical technique in sign...

This paper introduce the methods of facial expression recognition, and describe different methods of feature extraction in expression recognition, including the method based on geometric feature, the method based on feature face, the method based on wavelet analysis, more features fusion and combination method, and simple analysis of various methods. Look ahead to the future research emphasis a...