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    Deep light design
    1.
    发明授权
    Deep light design 有权

    公开(公告)号：US12165380B2

    公开(公告)日：2024-12-10

    申请号：US17309206

    申请日：2019-11-15

    Applicant: GOOGLE LLC

    Inventor： Chloe LeGendre ,  Wan-Chun Ma ,  Graham Fyffe ,  John Flynn ,  Jessica Busch ,  Paul Debevec

    IPC: G06V10/60 ,  G06V10/44 ,  G06V10/75 ,  G06V20/40

    Abstract: An example method, apparatus, and computer-readable storage medium are provided to predict high-dynamic range (HDR) lighting from low-dynamic range (LDR) background images. In an example implementation, a method may include receiving low-dynamic range (LDR) background images of scenes, each LDR background image captured with appearance of one or more reference objects with different reflectance properties; and training a lighting estimation model based at least on the received LDR background images to predict high-dynamic range (HDR) lighting based at least on the trained model. In another example implementation, a method may include capturing a low-dynamic range (LDR) background image of a scene from an LDR video captured by a camera of the electronic computing device; predicting high-dynamic range (HDR) lighting for the image, the predicting, using a trained model, based at least on the LDR background image; and rendering a virtual object based at least on the predicted HDR lighting.

    DEEP LIGHT DESIGN
    2.
    发明申请
    DEEP LIGHT DESIGN 有权

    公开(公告)号：US20210406581A1

    公开(公告)日：2021-12-30

    申请号：US17309206

    申请日：2019-11-15

    Applicant: GOOGLE LLC

    Inventor： Chloe LeGendre ,  Wan-Chun Ma ,  Graham Fyffe ,  John Flynn ,  Jessica Busch ,  Paul Debevec

    IPC: G06K9/46 ,  G06K9/00 ,  G06K9/62

    Abstract: An example method, apparatus, and computer-readable storage medium are provided to predict high-dynamic range (HDR) lighting from low-dynamic range (LDR) background images. In an example implementation, a method may include receiving low-dynamic range (LDR) background images of scenes, each LDR background image captured with appearance of one or more reference objects with different reflectance properties; and training a lighting estimation model based at least on the received LDR background images to predict high-dynamic range (HDR) lighting based at least on the trained model. In another example implementation, a method may include capturing a low-dynamic range (LDR) background image of a scene from an LDR video captured by a camera of the electronic computing device; predicting high-dynamic range (HDR) lighting for the image, the predicting, using a trained model, based at least on the LDR background image; and rendering a virtual object based at least on the predicted HDR lighting.

    COMPUTE AMORTIZATION HEURISTICS FOR LIGHTING ESTIMATION FOR AUGMENTED REALITY
    5.
    发明申请
    COMPUTE AMORTIZATION HEURISTICS FOR LIGHTING ESTIMATION FOR AUGMENTED REALITY 有权

    公开(公告)号：US20210166437A1

    公开(公告)日：2021-06-03

    申请号：US15733376

    申请日：2019-10-16

    Applicant: Google LLC

    Inventor： Chloe LeGendre ,  Laurent Charbonnel ,  Christina Tong ,  Konstantine Nicholas John Tsotsos ,  Wan-Chun Ma ,  Paul Debevec

    IPC: G06T11/00 ,  G06T3/20 ,  G06T3/60 ,  G06T7/70

    Abstract: Systems, methods, and computer program products are described that implement obtaining, at an electronic computing device and for at least one image of a scene rendered in an Augmented Reality (AR) environment, a scene lighting estimation captured at a first time period. The scene lighting estimation may include at least a first image measurement associated with the scene. The implementations may include determining, at the electronic computing device, a second image measurement associated with the scene at a second time period, determining a function of the first image measurement and the second image measurement. Based on the determined function, the implementations may also include triggering calculation of a partial lighting estimation update or triggering calculation of a full lighting estimation update and rendering, on a screen of the electronic computing device and for the scene, the scene using the partial lighting estimation update or the full lighting estimation update.

    Compute amortization heuristics for lighting estimation for augmented reality
    6.
    发明授权
    Compute amortization heuristics for lighting estimation for augmented reality 有权

    公开(公告)号：US11288844B2

    公开(公告)日：2022-03-29

    申请号：US15733376

    申请日：2019-10-16

    Applicant: Google LLC

    Inventor： Chloe LeGendre ,  Laurent Charbonnel ,  Christina Tong ,  Konstantine Nicholas John Tsotsos ,  Wan-Chun Ma ,  Paul Debevec

    IPC: G06T11/00 ,  G06T7/70 ,  G06T3/20 ,  G06T3/60

    Abstract: Systems, methods, and computer program products are described that implement obtaining, at an electronic computing device and for at least one image of a scene rendered in an Augmented Reality (AR) environment, a scene lighting estimation captured at a first time period. The scene lighting estimation may include at least a first image measurement associated with the scene. The implementations may include determining, at the electronic computing device, a second image measurement associated with the scene at a second time period, determining a function of the first image measurement and the second image measurement. Based on the determined function, the implementations may also include triggering calculation of a partial lighting estimation update or triggering calculation of a full lighting estimation update and rendering, on a screen of the electronic computing device and for the scene, the scene using the partial lighting estimation update or the full lighting estimation update.

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