Multi-spectral volumetric capture

    公开(公告)号:US12238263B2

    公开(公告)日:2025-02-25

    申请号:US17119003

    申请日:2020-12-11

    Abstract: Video capture of a subject, including: a first IR camera, a second IR camera, and a color camera, for capturing video data of the subject; a post, where the first IR camera, the second IR camera, and the color camera are attached to the post, and where the color camera is positioned between the first IR camera and the second IR camera; at least one IR light source, for illuminating the subject; and a processor configured to: generate depth solve data for the subject using data from the first IR camera and the second IR camera; generate projected color data by using data from the color camera to project color onto the depth solve data; and generate final capture data by merging the depth solve data and the projected color data.

    Artificial intelligence for capturing facial expressions and generating mesh data

    公开(公告)号:US12165247B2

    公开(公告)日:2024-12-10

    申请号:US17711886

    申请日:2022-04-01

    Inventor: Geoff Wedig

    Abstract: Methods and systems are provided for training a model used for animating a facial expression of a game character. The method includes capturing mesh data of a first human actor using a three-dimensional (3D) camera to generate three-dimensional (3D) depth data of a face of the first human actor. In one embodiment, the 3D depth data is output as mesh files corresponding to a frame captured by the 3D camera. The method includes capturing two-dimensional (2D) point cloud data of the first human actor using a 2D camera. In one embodiment, the 2D point cloud data represents tracked dots present on the face of the first human actor. In another embodiment, the 2D point cloud data is processed to generate training label value files (tLVFs). The method includes processing the mesh data in time coordination with the tLVFs associated with the 2D point cloud data to train the model. The model is configured to receive input mesh files captured from a second human actor and generate as output LVFs corresponding to the input mesh files.

    SUPER-RESOLUTION IN STRUCTURED LIGHT IMAGING

    公开(公告)号:US20230300308A1

    公开(公告)日:2023-09-21

    申请号:US18117910

    申请日:2023-03-06

    Abstract: A method of image processing in a structured light imaging device is provided that includes capturing a plurality of images of a scene into which a structured light pattern is projected by a projector in the structured light imaging device, extracting features in each of the captured images, finding feature matches between a reference image of the plurality of captured images and each of the other images in the plurality of captured images, rectifying each of the other images to align with the reference image, wherein each image of the other images is rectified based on feature matches between the image and the reference image, combining the rectified other images and the reference image using interpolation to generate a high resolution image, and generating a depth image using the high resolution image.

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