ITERATIVE BACKGROUND GENERATION FOR VIDEO STREAMS

    公开(公告)号:US20250069190A1

    公开(公告)日:2025-02-27

    申请号:US18237563

    申请日:2023-08-24

    Applicant: Google LLC

    Inventor: Stefan Lindmark

    Abstract: Systems and methods for iterative background generation for video streams are provided. A first background layer and a first foreground layer of a first frame of a video stream are determined. A second background layer and a second foreground layer of a second frame of the video stream are determined. The first and second background layers are combined. The combined background layer includes a region obscured by both the first and the second foreground layers. An inpainting of the obscured region is performed to obtain an image of the obscured region.

    Teeth segmentation using neural networks

    公开(公告)号:US12236594B2

    公开(公告)日:2025-02-25

    申请号:US18515179

    申请日:2023-11-20

    Abstract: A computer-implemented method and system of digitally segmenting teeth in a digital model comprises generating a panoramic image from a 3D digital model of a patient's dentition, labeling, using a first trained neural network, the panoramic image to provide a labeled panoramic image, mapping the labeled panoramic image to corresponding coarse digital surface triangle labels in the 3D digital model to provide a labeled 3D digital model, and segmenting the labeled 3D digital model to provide a segmented 3D digital model. A computer-implemented method and system of generating a panoramic image comprises determining, using a trained neural network, digital tooth bounding region(s) corresponding to digital teeth from a 2D depth map of a patient's dentition, connecting digital tooth bounding region(s) by a spline, determining sampled digital surface points from the sampled spline points; and determining associated digital surface points corresponding to each sampled digital surface point.

    System and method for classifying dermatological images using machine learning

    公开(公告)号:US12236586B2

    公开(公告)日:2025-02-25

    申请号:US17587688

    申请日:2022-01-28

    Inventor: Trevor Champagne

    Abstract: Systems and methods using machine learning for classifying images as being sufficient for medical diagnosis. An example of the method includes: receiving a dataset comprising a plurality of medical images; receiving, from a first single source, a respective label for each one of the plurality of medical images, the respective label being a positive response versus a negative response; dividing each one of the plurality of medical images into a plurality of medical image segments; associating each one of the plurality of medical image segments with an image segment label based on the respective label for the respective medical image being divided; and training a machine learning model using: the plurality of medical images, the respective label for each one of the plurality of medical images, the plurality of medical image segments, and the respective image segment label of each one of the plurality of medical image segments.

    Apparatus and method for analyzing fisheye camera image

    公开(公告)号:US12236552B2

    公开(公告)日:2025-02-25

    申请号:US17474140

    申请日:2021-09-14

    Applicant: IDIS CO., LTD.

    Abstract: Disclosed is an image analysis apparatus for analyzing a camera image. The image analysis apparatus for analyzing a camera image segments an input fisheye camera image into segmented images with a preset size field of view and superimposes the segmented images so that some regions overlap, performs dewarping on each of the segmented images, then combines the segmented images on which the dewarping is performed using a preset combination method, generates an analysis image, and detects objects included in the analysis image. In this case, the image analysis apparatus removes a result recognized as a duplicate from a detection result of the object by post-processing.

    METHOD AND APPARATUS FOR POST-PROCESSING RADIOGRAPHS

    公开(公告)号:US20250061570A1

    公开(公告)日:2025-02-20

    申请号:US18800591

    申请日:2024-08-12

    Abstract: A method for post-processing radiographs from radiographic data including spectral recordings of a region of interest of an object, the method comprising: creating, from the radiographs, a first image in which a first material of the object is highlighted and a second material of the object is suppressed; creating, from the radiographs, a second image in which the second material is highlighted and the first material is suppressed; post-processing the images, wherein the first image is post-processed by a first filter module and the second image is post-processed by a second filter module; combining the post-processed images to form a single image depicting the first material and the second material; and outputting the single image.

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