Application Research On Facial Feature Points Localization And Face Recognition

Facial feature points localization algorithm and its application of face recognition research as the important content of biometric recognition, human-computer interaction and effective way, facial expression recognition, face recognition technology has widely research and application. Based on positive face feature points of the method of facial expression recognition and face recognition algorithm faster recognition, to a certain extent,is not sensitive to illumination changes, etc. In some specific applications such as id photo identification, intelligent robot in facial expression recognition, face tracking can achieve good effect. This paper mainly studied the characteristics of positive face, has chosen the canthus, corners of the mouth, nose, face contour points has a good ability to distinguish between the point of feature of can show face feature points, and from these feature points or geometric feature of gray level characteristics, puts forward the improvement method of facial feature points positioning, emphatically expounds the process of these feature points for accurate positioning.Face recognition is an important application of positive face feature points. Use of variegated people face some of the feature points and feature vector to represent the whole face by classifier will feature vectors are classified. Only selecting suitable feature points,and carries on the accurate positioning of these feature points, to make the whole recognition system has good recognition rate. This article USES the feature points localization algorithm to determine the facial feature points of research, the application of face recognition to further determine the accuracy of the localization algorithm andpracticability of the proposed.