Invention Grant
- Patent Title: User authentication based on three-dimensional face modeling using partial face images
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Application No.: US17932897Application Date: 2022-09-16
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Publication No.: US12147519B2Publication Date: 2024-11-19
- Inventor: Anupama S , Chiranjib Choudhuri , Avani Rao , Ajit Deepak Gupte
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Polsinelli/Qualcomm
- Main IPC: G06F21/32
- IPC: G06F21/32 ; G06V10/44 ; G06V10/74 ; G06V10/82 ; G06V20/64 ; G06V40/16

Abstract:
Systems and techniques are provided for performing user authentication. For example, a process can include obtaining a plurality of images associated with a face and a facial expression of the user, wherein each respective image of the plurality of images includes a different portion of the face. An encoder neural network can be used to generate one or more predicted three-dimensional (3D) facial modeling parameters, wherein the encoder neural network generates the one or more predicted 3D facial modeling parameters based on the plurality of images. A reference 3D facial model associated with the face and the facial expression can be obtained. An error can be determined between the one or more predicted 3D facial modeling parameters and the reference 3D facial model, and the user can be authenticated user based on the error being less than a pre-determined authentication threshold.
Public/Granted literature
- US20240104180A1 USER AUTHENTICATION BASED ON THREE-DIMENSIONAL FACE MODELING USING PARTIAL FACE IMAGES Public/Granted day:2024-03-28
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