- 专利标题: Facial recognition using neural networks
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申请号: US17241600申请日: 2021-04-27
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公开(公告)号: US12033375B2公开(公告)日: 2024-07-09
- 发明人: Manfred Hiebl
- 申请人: Airbus Defence and Space GmbH
- 申请人地址: DE Taufkirchen
- 专利权人: Airbus Defence and Space GmbH
- 当前专利权人: Airbus Defence and Space GmbH
- 当前专利权人地址: DE Taufkirchen
- 代理机构: Lerner David LLP
- 优先权: DE 2020111955.0 2020.05.04
- 主分类号: G06V10/82
- IPC分类号: G06V10/82 ; G06F18/21 ; G06V10/70 ; G06V10/764 ; G06V40/16
摘要:
An object identification unit contains an artificial neural network and is designed to identify human faces. For this purpose, a face is divided into a number of triangles. The relative component of the area of each triangle in the total of the areas of all triangles is ascertained to ascertain a rotational angle of the face. The relative component of the area of each triangle in the total of the area of all triangles is then scaled to a rotation-invariant dimension of the face. The scaled area of the triangles is supplied to the artificial neural network in order to identify a person.
公开/授权文献
- US20210342576A1 Facial Recognition Using Neural Networks 公开/授权日:2021-11-04
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