Invention Grant
- Patent Title: Equivariant landmark transformation for landmark localization
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Application No.: US16006728Application Date: 2018-06-12
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Publication No.: US10783394B2Publication Date: 2020-09-22
- Inventor: Pavlo Molchanov , Stephen Walter Tyree , Jan Kautz , Sina Honari
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Leydig, Voit & Mayer, Ltd.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/46 ; G06N3/08 ; G06K9/66 ; G06N3/04

Abstract:
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.
Public/Granted literature
- US20180365512A1 EQUIVARIANT LANDMARK TRANSFORMATION FOR LANDMARK LOCALIZATION Public/Granted day:2018-12-20
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