FACE RECOGNITION METHOD AND APPARATUS
First Claim
1. A face recognition method, comprising:
- generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of a user face;
generating 3D shape information based on the personalized 3D face model, the 3D shape information including one or more sets of 3D surface coordinate values;
generating a normalized 2D input image of the user face based on the personalized 3D face model;
generating feature information associated with the user face, based on the 3D shape information and pixel color values of the normalized 2D input image; and
performing face recognition based on the feature information.
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Abstract
Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.
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Citations
20 Claims
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1. A face recognition method, comprising:
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generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of a user face; generating 3D shape information based on the personalized 3D face model, the 3D shape information including one or more sets of 3D surface coordinate values; generating a normalized 2D input image of the user face based on the personalized 3D face model; generating feature information associated with the user face, based on the 3D shape information and pixel color values of the normalized 2D input image; and performing face recognition based on the feature information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An apparatus comprising:
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a memory storing computer-readable instructions; and a processor configured to execute the computer-readable instructions to, detect one or more landmarks of a user face based on processing a two-dimensional (2D) image of the user face; generate a personalized three-dimensional (3D) face model based on the detected one or more landmarks; generate 3D shape information associated with the user face based on processing the personalized 3D face model; generate first feature information associated with the user face, based on applying a first deep neural network model to pixel color values of the 2D image of the user face; and generate second feature information associated with the user face, based on applying a second deep neural network model to the 3D shape information, wherein the first deep neural network model differs from the second deep neural network model. - View Dependent Claims (17, 18, 19)
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20. A face recognition apparatus comprising:
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a memory storing computer-readable instructions; and a processor configured to execute the computer-readable instructions to, generate a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of a user face; generate 3D shape information based on the personalized 3D face model, the 3D shape information including one or more sets of 3D surface coordinate values; generate a normalized 2D input image of the user face based on the personalized 3D face model; generate feature information associated with the user face, based on the 3D shape information and pixel color values of the normalized 2D input image; perform face recognition based on the feature information.
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Specification