Invention Grant
- Patent Title: Depth prediction from dual pixel images
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Application No.: US17090948Application Date: 2020-11-06
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Publication No.: US11599747B2Publication Date: 2023-03-07
- Inventor: Yael Pritch Knaan , Marc Levoy , Neal Wadhwa , Rahul Garg , Sameer Ansari , Jiawen Chen
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: McDonnell Boehnen Hulbert & Berghoff LLP
- Main IPC: G06K9/62
- IPC: G06K9/62

Abstract:
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.
Public/Granted literature
- US20210056349A1 Depth Prediction from Dual Pixel Images Public/Granted day:2021-02-25
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