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    Depth Determination for Images Captured with a Moving Camera and Representing Moving Features
    2.
    发明申请
    Depth Determination for Images Captured with a Moving Camera and Representing Moving Features 有权

    公开(公告)号：US20210090279A1

    公开(公告)日：2021-03-25

    申请号：US16578215

    申请日：2019-09-20

    Applicant: Google LLC

    Inventor： Tali Dekel ,  Forrester Cole ,  Ce Liu ,  William Freeman ,  Richard Tucker ,  Noah Snavely ,  Zhengqi Li

    IPC: G06T7/579 ,  G06T7/246 ,  G06T7/73

    Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

    Single image 3D photography with soft-layering and depth-aware inpainting
    4.
    发明授权
    Single image 3D photography with soft-layering and depth-aware inpainting 有权

    公开(公告)号：US12260572B2

    公开(公告)日：2025-03-25

    申请号：US17907529

    申请日：2021-08-05

    Applicant: Google LLC

    Inventor： Varun Jampani ,  Huiwen Chang ,  Kyle Sargent ,  Abhishek Kar ,  Richard Tucker ,  Dominik Kaeser ,  Brian L. Curless ,  David Salesin ,  William T. Freeman ,  Michael Krainin ,  Ce Liu

    IPC: G06T7/00 ,  G06T5/60 ,  G06T5/77 ,  G06T7/50

    Abstract: A method includes determining, based on an image having an initial viewpoint, a depth image, and determining a foreground visibility map including visibility values that are inversely proportional to a depth gradient of the depth image. The method also includes determining, based on the depth image, a background disocclusion mask indicating a likelihood that pixel of the image will be disoccluded by a viewpoint adjustment. The method additionally includes generating, based on the image, the depth image, and the background disocclusion mask, an inpainted image and an inpainted depth image. The method further includes generating, based on the depth image and the inpainted depth image, respectively, a first three-dimensional (3D) representation of the image and a second 3D representation of the inpainted image, and generating a modified image having an adjusted viewpoint by combining the first and second 3D representation based on the foreground visibility map.

    Depth Determination for Images Captured with a Moving Camera and Representing Moving Features
    8.
    发明申请
    Depth Determination for Images Captured with a Moving Camera and Representing Moving Features 有权

    公开(公告)号：US20220215568A1

    公开(公告)日：2022-07-07

    申请号：US17656165

    申请日：2022-03-23

    Applicant: Google LLC

    Inventor： Tali Dekel ,  Forrester Cole ,  Ce Liu ,  William Freeman ,  Richard Tucker ,  Noah Snavely ,  Zhengqi Li

    IPC: G06T7/579 ,  G06T7/246 ,  G06T7/73

    Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

    Depth determination for images captured with a moving camera and representing moving features
    9.
    发明授权
    Depth determination for images captured with a moving camera and representing moving features 有权

    公开(公告)号：US11315274B2

    公开(公告)日：2022-04-26

    申请号：US16578215

    申请日：2019-09-20

    Applicant: Google LLC

    Inventor： Tali Dekel ,  Forrester Cole ,  Ce Liu ,  William Freeman ,  Richard Tucker ,  Noah Snavely ,  Zhengqi Li

    IPC: G06T7/00 ,  G06T7/579 ,  G06T7/246 ,  G06T7/73

    Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

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