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公开(公告)号:US11100054B2
公开(公告)日:2021-08-24
申请号:US16596394
申请日:2019-10-08
Applicant: eBay Inc.
Inventor: Fang Fang , Surabhi Shastri , Changchen He , Krutika Shetty
Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.
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公开(公告)号:US11487712B2
公开(公告)日:2022-11-01
申请号:US17377708
申请日:2021-07-16
Applicant: eBay Inc.
Inventor: Fang Fang , Surabhi Shastri , Changchen He , Krutika Shetty
Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.
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公开(公告)号:US20210342306A1
公开(公告)日:2021-11-04
申请号:US17377708
申请日:2021-07-16
Applicant: eBay Inc.
Inventor: Fang Fang , Surabhi Shastri , Changchen He , Krutika Shetty
Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.
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