Invention Grant
- Patent Title: Camera depth prediction using generative adversarial network
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Application No.: US15980495Application Date: 2018-05-15
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Publication No.: US10536622B2Publication Date: 2020-01-14
- Inventor: Junji Shimada
- Applicant: SONY CORPORATION
- Applicant Address: JP Tokyo
- Assignee: SONY CORPORATION
- Current Assignee: SONY CORPORATION
- Current Assignee Address: JP Tokyo
- Agency: O'Banion & Ritchey LLP
- Agent John P. O'Banion
- Main IPC: H04N5/232
- IPC: H04N5/232 ; H04N5/225

Abstract:
An apparatus and method for improving camera depth estimations for a moving subject in the camera field of view. The camera utilizes a generative adversarial network (GAN) to predict future frames from a current frame(s). These predicted future frames are then utilized as a target for determining a depth map from which lens focusing direction and distance are determined for moving the camera into proper focus and thus reducing focusing errors on captured frames as target and/or camera motion progresses.
Public/Granted literature
- US20190356842A1 CAMERA DEPTH PREDICTION USING GENERATIVE ADVERSARIAL NETWORK Public/Granted day:2019-11-21
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