Invention Grant
- Patent Title: Generating an image mask using machine learning
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Application No.: US16992968Application Date: 2020-08-13
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Publication No.: US11743426B2Publication Date: 2023-08-29
- Inventor: Lidiia Bogdanovych , William Brendel , Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06T7/194
- IPC: G06T7/194 ; G06V10/82 ; H04N7/14 ; G06T7/11 ; G06N3/08 ; G06N3/04 ; G06V30/242 ; G06F18/214 ; G06F18/24 ; G06V30/19 ; H04N5/445 ; H04N5/76

Abstract:
A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can he assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented. using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.
Public/Granted literature
- US20210027100A1 GENERATING AN IMAGE MASK USING MACHINE LEARNING Public/Granted day:2021-01-28
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