- 专利标题: Depth prediction from dual pixel images
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申请号: US17090948申请日: 2020-11-06
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公开(公告)号: US11599747B2公开(公告)日: 2023-03-07
- 发明人: Yael Pritch Knaan , Marc Levoy , Neal Wadhwa , Rahul Garg , Sameer Ansari , Jiawen Chen
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: McDonnell Boehnen Hulbert & Berghoff LLP
- 主分类号: G06K9/62
- IPC分类号: G06K9/62
摘要:
Apparatus and methods related to using machine learning to determine depth maps for dual pixel images of objects are provided. A computing device can receive a dual pixel image of at least a foreground object. The dual pixel image can include a plurality of dual pixels. A dual pixel of the plurality of dual pixels can include a left-side pixel and a right-side pixel that both represent light incident on a single dual pixel element used to capture the dual pixel image. The computing device can be used to train a machine learning system to determine a depth map associated with the dual pixel image. The computing device can provide the trained machine learning system.
公开/授权文献
- US20210056349A1 Depth Prediction from Dual Pixel Images 公开/授权日:2021-02-25
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