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 the facial image is 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 assigning the eigenvectors and weights of the input image extracted in the facial image recognition unit into the derived algorithm.
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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 hiding-decision algorithm, whereby it can be determined whether the facial image is occluded.
31 Citations
20 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 the facial image is 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 assigning the eigenvectors and weights of the input image extracted in the facial image recognition unit into the derived algorithm. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. 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) deciding whether the facial image is occluded, by substituting the extracted eigenvectors and weights into a hiding-decision algorithm obtained from a plurality of training images. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for authenticating a facial image, comprising the steps of:
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extracting eigenvectors and weights of the respective facial components from the training images in which normal and occluded facial images are included and values of normal and occluded facial image classes are set to be different from each other; and
deriving the hiding-decision algorithm using the extracted values of the image classes, eigenvectors and weights of the training images. extracting eigenvectors and weights of respective facial components from an input facial image;
deciding whether the facial image is occluded, by substituting the extracted eigenvectors and weights of the facial image into the derived decision algorithm;
transmitting a warning message if it is determined whether the input facial image is occluded, and deciding again whether the facial image is occluded; and
rejecting authentication if it is determined that the input facial image is occluded three times or more.
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Specification