Invention Grant
- Patent Title: Neural network based face detection and landmark localization
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Application No.: US15815635Application Date: 2017-11-16
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Publication No.: US12008464B2Publication Date: 2024-06-11
- Inventor: Haoxiang Li , Zhe Lin , Jonathan Brandt , Xiaohui Shen
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F3/04812 ; G06F18/2413 ; G06N3/045 ; G06T15/04 ; G06T15/20 ; G06V10/44 ; G06V10/764 ; G06V10/82 ; G06V40/16

Abstract:
Approaches are described for determining facial landmarks in images. An input image is provided to at least one trained neural network that determines a face region (e.g., bounding box of a face) of the input image and initial facial landmark locations corresponding to the face region. The initial facial landmark locations are provided to a 3D face mapper that maps the initial facial landmark locations to a 3D face model. A set of facial landmark locations are determined from the 3D face model. The set of facial landmark locations are provided to a landmark location adjuster that adjusts positions of the set of facial landmark locations based on the input image. The input image is presented on a user device using the adjusted set of facial landmark locations.
Public/Granted literature
- US20190147224A1 NEURAL NETWORK BASED FACE DETECTION AND LANDMARK LOCALIZATION Public/Granted day:2019-05-16
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