Systems and methods for facial representation
AssigneeFacebook, Inc.
InventorsYaniv Taigman, Ming Yang, Marc'Aurelio Ranzato
Life of this patent
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Abstract
Systems, methods, and non-transitory computer readable media can align face images, classify face images, and verify face images by employing a deep neural network (DNN). A 3D-aligned face image can be generated from a 2D face image. An identity of the 2D face image can be classified based on provision of the 3D-aligned face image to the DNN. The identity of the 2D face image can comprise a feature vector.
Claims21
-20. (canceled)
A computer-implemented method, comprising:
- determining, by a computing system, a set of fiducial points in a 2D face image;
- generating, by the computing system, a 3D-aligned face image from the 2D face image based at least in part on the set of fiducial points determined for the 2D face image;
- and
- classifying, by the computing system, a facial identity corresponding to the 2D face image based at least in part on the 3D-aligned face image.
A system comprising:
- at least one processor;
- and
- a memory storing instructions that, when executed by the at least one processor, cause the system to perform:
- determining a set of fiducial points in a 2D face image;
- generating a 3D-aligned face image from the 2D face image based at least in part on the set of fiducial points determined for the 2D face image;
- and
- classifying a facial identity corresponding to the 2D face image based at least in part on the 3D-aligned face image.
A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform:
- determining a set of fiducial points in a 2D face image;
- generating a 3D-aligned face image from the 2D face image based at least in part on the set of fiducial points determined for the 2D face image;
- and
- classifying a facial identity corresponding to the 2D face image based at least in part on the 3D-aligned face image.
Dependencies are inferred from the claim text.