Patent ID: 7949158
Filing Date: 2011-05-24
Classification: G06K

Abstract:
1. A method of extracting a face feature, the method comprising: calculating an average image of each of a plurality of candidates having two or more face images and calculating a total average image of all face images of the plurality of candidates, wherein a recent face image has a higher weight value than a least recent face image, wherein each of the two or more face images has weight value based on the order in which each the face images are acquired, wherein a most recent face image has a highest weight value and a most least recent face image has a lowest weight value, wherein the face images between the most recent face image and the most least face image are proportionally weighted between the highest weight value the lowest weight value according to an order, wherein the order is based on when the two or more face images were acquired, wherein the weight values for each of the two or more face images decease proportionally according to a new order when a new most recent face image is acquired; calculating a between-class scatter matrix based on a difference between each candidate's average image and the total average image and a within-class scatter matrix based on a difference between each candidate's average image and each candidate's predetermined face image of the one or more face images; and generating a base vector that maximizes a criterion defined by a ratio between the between-class scatter matrix and the within-class scatter matrix, wherein the face image have a higher weight value has a greater influence on the generation of the base vector, wherein each of the face images have a less influence on the base vector changes each time a next new most recent face image is acquired.