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.