Facial Expression Recognition Basedon Geometrical Features

Facial expression recognition that has the extensive application future is gradually the hotspot of the human-computer interaction. Facial expression recognition is the essence of the intelligence and nature human-computer interaction. To realize the nature and harmonious human-computer interaction must make the computer understand the emotion and intention. At present, the research on the facial expression mainly focuses on the physiology, psychology and cognitive science etc. It is important to develop the automatic classification of facial expression, ant not only the human-computer interaction is important, but also there are many applications in the field of computer assistant training and the network education.The research of this paper is mainly based on the facial geometrical feature to locate the brow, eye and the facial expression analysis and recognition, there are 5 parts mainly, and there gets some research results in the process.(1) In the process of face original image pretreatment, to connect the break is to avoid the disadvantage of some small break points, this paper presents the up edge extraction method of the probe based on the connected region, and extend the neighbor pixel range while coding the up edge pixels, and this paper presents the extended 6-neighborhood to store and code the edge, the experiments show that the algorithms are effective.(2) This paper presents the method of up-edge four neighborhood endpoints with the geometrical feature restriction of the brow and eye to locate the brow and eye with the geometrical feature restriction of the brow and eye;(3) This paper depicts the change of facial expression with the following features: the slope of the two endpoints of the brow and eye, the Euclidean distance from the middle point to the line of the two endpoints, the opening of up-down lips and the corners of the mouth, the ratio of the distance of up-down lips and left-right corner.(4) This paper presents a new function of every dimension data to calculate the weight of the expression feature data, this function disperses every dimension data possibly, improve the differentiability of the data, which is better in practice.This paper develops the facial expression recognition system (FERS) in VC++6.0 based on these researches, the experiment shows that the algorithms presented by this paper are effective and the system has the characteristic of the real-time.