Facial feature extraction method and face recognition method based on large-scale image data

Abstract

The invention discloses a facial feature extraction method and a face recognition method based on large-scale image data. The facial feature extraction method comprises the following steps of: 1) establishing a face image database A, wherein each person has face images with multiple expressions, postures and illumination, and establishing a face image database B; 2) performing face detection on each image in the databases A and B, and outputting a rectangular frame comprising the face, and pixel coordinates of the two eyes; 3) correcting and zooming each face image, generating an image with a set standard format, and extracting a bottom texture feature vector; 4) training a classifier capable of recognizing each person a by utilizing a support vector machine algorithm for the person a in the database A; and 5) generating a new face image into an image with a set standard format, judging the bottom texture feature vector of a new face by utilizing each classifier, and establishing a vector according to a criteria score to serve as a feature vector of the new face image. According to the extraction method, the robustness of an extracted face feature is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and relates to a face image analysis and processing method, in particular to a face feature extraction method and a face recognition method based on large-scale image data, which can be applied to face recognition / face verification / face search and other applications as the basic face feature extraction unit. Background technique [0002] Feature extraction of face images is a hotspot in computer vision research, and its technical research results are widely used in various tasks such as face recognition / face verification / face search / facial expression analysis. Its basic task is to generate a vector representation for the input face image, so that the information of the face identity can be well preserved and the information irrelevant to the face identity can be eliminated. Its basic goal is that the face image input of the same person produces vector outputs that are as similar as p...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to overcome the above-mentioned classical human face image feature extraction method for the serious correlation problem of facial posture and expression, propose a kind of human face feature extraction method and face recognition method based on large-scale image data, thereby obtain A more robust face image feature suitable for various scenes and applications

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