Camera depth prediction using generative adversarial network
US10536622B2 · kind B2 · utility
3Cited by
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11Claims
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Key dates
| Filing date | May 15, 2018 |
| Grant date | Jan 14, 2020 |
| Priority date | — |
| Expiry date | May 15, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N23/57
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.