- 专利标题: Equivariant landmark transformation for landmark localization
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申请号: US16006728申请日: 2018-06-12
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公开(公告)号: US10783394B2公开(公告)日: 2020-09-22
- 发明人: Pavlo Molchanov , Stephen Walter Tyree , Jan Kautz , Sina Honari
- 申请人: NVIDIA Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: NVIDIA Corporation
- 当前专利权人: NVIDIA Corporation
- 当前专利权人地址: US CA Santa Clara
- 代理机构: Leydig, Voit & Mayer, Ltd.
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06K9/62 ; G06K9/46 ; G06N3/08 ; G06K9/66 ; G06N3/04
摘要:
A method, computer readable medium, and system are disclosed to generate coordinates of landmarks within images. The landmark locations may be identified on an image of a human face and used for emotion recognition, face identity verification, eye gaze tracking, pose estimation, etc. A transform is applied to input image data to produce transformed input image data. The transform is also applied to predicted coordinates for landmarks of the input image data to produce transformed predicted coordinates. A neural network model processes the transformed input image data to generate additional landmarks of the transformed input image data and additional predicted coordinates for each one of the additional landmarks. Parameters of the neural network model are updated to reduce differences between the transformed predicted coordinates and the additional predicted coordinates.
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