Invention Grant
- Patent Title: Biometric task network
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Application No.: US17730324Application Date: 2022-04-27
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Publication No.: US11776323B2Publication Date: 2023-10-03
- Inventor: Ali Hassani , Justin Miller
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC
- Current Assignee: Ford Global Technologies, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Bejin Bieneman PLC
- Agent Frank Lollo
- Main IPC: G06V40/40
- IPC: G06V40/40 ; G06V10/82 ; G06V40/16

Abstract:
A liveliness prediction output is provided from a liveliness biometric analysis task that is determined by a deep neural network based on an image provided from an image sensor wherein the liveliness biometric analysis task is performed in a deep neural network that includes a common feature extraction neural network and a plurality of task-specific neural networks including a face detection neural network, a body pose neural network and a liveliness neural network including a region of interest (ROI) detection neural network and a texture analysis neural network to determine the liveliness biometric analysis task by inputting the image to the common feature extraction neural network to determine latent variables. The latent variables can be input to the face detection neural network and the liveliness neural network. Output from the face detection neural network can be input to the ROI detection neural network.
Public/Granted literature
- US20230260329A1 BIOMETRIC TASK NETWORK Public/Granted day:2023-08-17
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