System and method for detecting face
First Claim
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1. 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;
where yi, λ
i and b are factors obtained from the training images, and K(x,xi) 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 −
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Abstract
The present invention relates to a system and method for detecting a face that is capable of quickly and correctly deciding whether an input facial image is occluded, regardless of any type of facial image to be inputted. The present invention is characterized in that eigenvectors and weights are extracted from the input facial image using principal component analysis (PCA) and the extracted eigenvectors and weights of the user image are substituted into a occluding-decision algorithm, whereby it can be determined whether the facial image is occluded.
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16 Claims
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1. A system for detecting a face, comprising:
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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; where yi, λ
i and b are factors obtained from the training images, and K(x,xi) is eigenvectors and weights extracted from the input facial image, andwherein 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.- View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for detecting a face, comprising the steps of:
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(a) extracting eigenvectors and weights of respective facial components from an input facial image; and (b) obtaining an occluding-decision algorithm for deciding whether input facial images are occluded using eigenvectors and weights of a plurality of training images, and deciding whether the input facial image is occluded by substituting the extracted eigenvectors and weights of the input image into the occluding-decision algorithm, wherein the occluding-decision algorithm is expressed as the following equation; where yi, λ
i and b are factors obtained from the training images, and K(x,xi) is eigenvectors and weights extracted from the input facial image, andwherein step (b) comprises the step of; deciding 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 be occluded if the result value is −
1.- View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification