Soft double-layer age estimation method based on facial image fusion features

Abstract

The invention discloses a soft double-layer age estimation method based on facial image fusion features. The method includes the first step of obtaining a facial image to be estimated, the second step of preprocessing the facial image, the third step of extracting fusion features x, the fourth step of judging whether the soft double-layer age estimation method exists, if yes, going to the sixth step, and if not, going to the fifth step, the fifth step of learning the soft double-layer age estimation method, extracting fusion features of training images, dividing the training images into two stages, conducting learning to obtain a binary classifier F(x), setting an overlapping area at the age boundary, expanding the age range in each stage and conducting learning to obtain regression models Y(x) and A(x), the sixth step of inputting the fusion features x into the soft double-layer age estimation method, using the binary classifier F(x) to conduct classification first, and then selecting to apply the regression model Y(x) or A(x) according to a classification result to obtain an estimated age value y, and the seventh step of conducting correction processing on the estimated age value.

Description

technical field [0001] The invention belongs to the field of computer application technology, in particular to a soft double-layer age estimation method based on human face image fusion features. Background technique [0002] There are more and more age-based applications, such as age-based coercion, control, and assistance. With the popularization of camera equipment, it is more and more convenient to obtain face images, and face images have become an important medium for human-computer interaction. If age estimation can be performed based on face images, age-based applications will be expanded. Age estimation based on face images refers to the application of computer technology to model the changes in face images with age, so that the machine can infer the approximate age or age range (age group) of a person based on the face image. The present invention is primarily directed to accurate age value estimation. There are already some patents for age estimation based on fa...

AI Technical Summary

Problems solved by technology

There are already some patents for age estimation based on face images, such as the patent "Automatic age estimation method for human beings based on digital face images" (Patent No. 200910031218) and the patent "Age estimation method, equipment and face recognition system" (Patent No. 200910131059) all use simple face statistical dimensionality reduction methods to obtain face features, which cannot effectively express face age information. The patent "A Age Evaluation Method Based on Face Recognition Technology" (Patent No. 200910032756) It is based on the simple assumption that "people with similar looks have similar facial features at different ages", but there are many external factors such as life and work environment that affect the aging of the face. This assumption is not true in most cases

[0003] In general, the existing technology has the following shortcomings: only a single image feature is considered, and the change of face with age includes not only the change of shape, but also the change of texture, and it often has local characteristics; only a single layer is used The age estimation method does not take into account that there are roughly two stages of face change with age

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