Invention Grant
- Patent Title: All-in-one convolutional neural network for face analysis
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Application No.: US16340859Application Date: 2017-10-10
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Publication No.: US11023711B2Publication Date: 2021-06-01
- Inventor: Rajeev Ranjan , Swaminathan Sankaranarayanan , Carlos Castillo , Ramalingam Chellappa
- Applicant: UNIVERSITY OF MARYLAND, COLLEGE PARK
- Applicant Address: US MD College Park
- Assignee: UNIVERSITY OF MARYLAND, COLLEGE PARK
- Current Assignee: UNIVERSITY OF MARYLAND, COLLEGE PARK
- Current Assignee Address: US MD College Park
- Agency: Squire Patton Boggs (US) LLP
- International Application: PCT/US2017/055948 WO 20171010
- International Announcement: WO2018/071424 WO 20180419
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/62

Abstract:
Various facial recognition systems may benefit from appropriate use of computer systems. For example, certain face analysis systems may benefit from an all-in-one convolutional neural network that has been appropriately configured. A method can include obtaining an image of a face. The method can also include processing the image of the face using a first set of convolutional network layers configured to perform subject-independent tasks. The method can further include subsequently processing the image of the face using a second set of convolutional network layers configured to perform subject-dependent tasks. The second set of convolutional network layers can be integrated with the first set of convolutional network layers to form a single convolutional neural network. The method can additionally include outputting facial image detection results based on the processing and subsequent processing.
Public/Granted literature
- US20190244014A1 ALL-IN-ONE CONVOLUTIONAL NEURAL NETWORK FOR FACE ANALYSIS Public/Granted day:2019-08-08
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