Improved sift face feature extraction method based on key points

Abstract

Improved SIFT facial feature extraction method based on key points, this method adopts the improved SIFT facial feature extraction method based on key points. By locating five key pixels in the face and using the orientation histogram in the SIFT method to describe these five key points, a robust face image feature vector is formed. The similarity score between two face feature vectors is calculated by combining the bilinear similarity function and Mahalanobis distance. The KELM classifier is used to perform binary classification on the similarity score value. For a type of face image with a higher score value, both face images are judged to be from the same person, and a type with a lower score value Face pictures, both face pictures are judged to be from different people. In the process of face recognition based on the face feature vector, the bilinear similarity function and Mahalanobis distance are combined to calculate the similarity score of the two feature vectors, which enhances the distinguishability between classes.

Description

technical field

[0001] The invention relates to an improved SIFT (Scale Invariant Feature Transform) face feature extraction method based on key points, which belongs to the field of face recognition. Background technique

[0002] Face recognition is a biometric technology for identification based on human facial feature information. Compared with other biometrics, facial features have the advantages of naturalness, convenience, and non-contact, which make them have great application prospects in security monitoring, identity verification, and human-computer interaction. Therefore, face recognition technology is of great research value. Generally speaking, the face recognition process is divided into two processes: face feature extraction and face similarity score calculation. The face feature extraction process is to extract some key features of the face picture to form a face feature vector. The face similarity score calculation process is to calculate the similarity bet...

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