Patent ID: 7321670

Claim:
A system for detecting a face, comprising: a memory unit for storing eigenvectors and weights extracted from a plurality of training images; a facial image recognition unit for extracting eigenvectors and weights of respective face components from an input facial image; and a facial image decision unit for deriving an algorithm for deciding whether input facial images are occluded using the eigenvectors and weights of the training images stored in the memory unit, and for deciding whether the input facial image is occluded by substituting the eigenvectors and weights of the input image extracted in the facial image recognition unit into the derived algorithm, wherein the deciding algorithm is expressed as the following equation: f ⁡ ( x ) = sign ⁡ ( ∑ i = 1 l ⁢ y i ⁢ λ i ⁢ K ⁡ ( x , x i ) + b ) , where y i , λ i and b are factors obtained from the training images, and K(x,x i ) is eigenvectors and weights extracted from the input facial image, and wherein the facial image decision unit is configured to decide the input facial image to be normal if a result value obtained by substituting the eigenvectors and weights into the decision algorithm is 1 and to decide the input facial image to be occluded if the result value is −1.