Varied depth determination using stereo vision and phase detection auto focus (PDAF)

    公开(公告)号:US11974060B2

    公开(公告)日:2024-04-30

    申请号:US18129009

    申请日:2023-03-30

    Applicant: Snap Inc.

    CPC classification number: H04N5/2226 H04N23/45 H04N23/672

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using, stereo vision and phase detection auto focus (PDAF). Computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. To utilize stereo vison, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. The relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. For example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.

    VARIED DEPTH DETERMINATION USING STEREO VISION AND PHASE DETECTION AUTO FOCUS (PDAF)

    公开(公告)号:US20220377209A1

    公开(公告)日:2022-11-24

    申请号:US17746292

    申请日:2022-05-17

    Applicant: Snap Inc.

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using stereo vision and phase detection auto focus (PDAF). Computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. To utilize stereo vision, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. The relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. For example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.

    VARIED DEPTH DETERMINATION USING STEREO VISION AND PHASE DETECTION AUTO FOCUS (PDAF)

    公开(公告)号:US20230239423A1

    公开(公告)日:2023-07-27

    申请号:US18129009

    申请日:2023-03-30

    Applicant: Snap Inc.

    CPC classification number: H04N5/2226 H04N23/45 H04N23/672

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using, stereo vision and phase detection auto focus (PDAF). Computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. To utilize stereo vison, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. The relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. For example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.

    VARIED DEPTH DETERMINATION USING STEREO VISION AND PHASE DETECTION AUTO FOCUS (PDAF)

    公开(公告)号:US20240223715A1

    公开(公告)日:2024-07-04

    申请号:US18606150

    申请日:2024-03-15

    Applicant: Snap Inc.

    CPC classification number: H04N5/2226 H04N23/45 H04N23/672

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using stereo vision and phase detection auto focus (PDAF). Computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. To utilize stereo vison, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. The relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. For example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.

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