Face image gender marking method and face gender detection method

Abstract

The invention discloses a face image gender marking method and a face gender detection method. The detection method includes the following steps that: 1) face images and context information thereof are obtained; 2) the genders of each of obtained face images to be marked is marked; 3) feature vectors of each of gender marked images are extracted, and a machine learning algorithm is utilized to train the face images which have been subjected to gender marking so as to generate a face gender recognition model; and 4) as for face images to be detected, the feature vectors of the face images to be detected are extracted, and the face gender recognition model is utilized to perform gender detection on the face images to be detected. The gender of each of the obtained faces to be marked is marked in the following manners that: name keywords of candidates are extracted from the context information of the images, and a network is searched, and the method returns a result webpage; the genders of the images are determined according to the word frequency of gender relevant words in the result webpage; and a face image technology platform and a face attribute analysis algorithm are respectively adopted to detect the genders of the images; and the gender of the images are marked based on above recognition results. With the face image gender marking method and the face gender detection method of the invention adopted, face image marking efficiency and gender detection efficiency can be greatly improved.

Description

technical field [0001] The invention relates to a face attribute feature labeling method, in particular to a face image gender labeling method and a face gender detection method, belonging to the technical field of image recognition. Background technique [0002] At present, face recognition detection technology has been widely used in various fields and has become a current research hotspot. Its system" patent literature. [0003] Among them, the extraction and labeling of face feature points in the face detection and recognition method is an essential work, such as the application number 201310115471.2, the name "a method and system for automatic face labeling" first detected from the intercepted video Face, get the face picture set, and then filter out the face picture set, at the same time, get the HSV color histogram difference value of the adjacent frame picture, use the lens edge detection algorithm of the space color histogram to segment the shot, and from the adjac...

AI Technical Summary

Problems solved by technology

However, the labeling method of the gender attribute of the face has not been effectively solved. It is very time-consuming to simply screen and label one by one through manual methods.

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