DEEP LEARNING METHOD AND APPARATUS FOR AUTOMATIC UPRIGHT RECTIFICATION OF VIRTUAL REALITY CONTENT가상 현실 콘텐츠의 자동적인 직립 교정을 위한 딥러닝 방법 및 장치
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bazin, Jean-Charles | ko |
| dc.contributor.author | Jung, Rae Hyuk | ko |
| dc.contributor.author | Lee, Seung Joon | ko |
| dc.date.accessioned | 2021-09-02T05:30:27Z | - |
| dc.date.available | 2021-09-02T05:30:27Z | - |
| dc.identifier.uri | http://hdl.handle.net/10203/287566 | - |
| dc.description.abstract | Proposed are a deep learning method and apparatus for the automatic upright rectification of VR content. The deep learning method for the automatic upright rectification of VR content according to an embodiment may include inputting a VR image, to a neural network and outputting orientation information of the VR image through a trained neural network. | - |
| dc.title | DEEP LEARNING METHOD AND APPARATUS FOR AUTOMATIC UPRIGHT RECTIFICATION OF VIRTUAL REALITY CONTENT | - |
| dc.title.alternative | 가상 현실 콘텐츠의 자동적인 직립 교정을 위한 딥러닝 방법 및 장치 | - |
| dc.type | Patent | - |
| dc.type.rims | PAT | - |
| dc.contributor.localauthor | Bazin, Jean-Charles | - |
| dc.contributor.nonIdAuthor | Jung, Rae Hyuk | - |
| dc.contributor.nonIdAuthor | Lee, Seung Joon | - |
| dc.contributor.assignee | KAIST | - |
| dc.identifier.iprsType | 특허 | - |
| dc.identifier.patentApplicationNumber | 16599590 | - |
| dc.identifier.patentRegistrationNumber | 11100617 | - |
| dc.date.application | 2019-10-11 | - |
| dc.date.registration | 2021-08-24 | - |
| dc.publisher.country | US | - |
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