APPARATUS AND METHODS FOR IMAGE SEGMENTATION USING MACHINE LEARNING PROCESSES

    公开(公告)号:US20240078679A1

    公开(公告)日:2024-03-07

    申请号:US17901429

    申请日:2022-09-01

    CPC classification number: G06T7/11 G06T7/74 G06T2207/20112

    Abstract: Methods, systems, and apparatuses for image segmentation are provided. For example, a computing device may obtain an image, and may apply a process to the image to generate input image feature data and input image segmentation data. Further, the computing device may obtain reference image feature data and reference image classification data for a plurality of reference images. The computing device may generate reference image segmentation data based on the reference image feature data, the reference image classification data, and the input image feature data. The computing device may further blend the input image segmentation data and the reference image segmentation data to generate blended image segmentation data. The computing device may store the blended image segmentation data within a data repository. In some examples, the computing device provides the blended image segmentation data for display.

    IMAGE MODIFICATION TECHNIQUES
    2.
    发明公开

    公开(公告)号:US20230143034A1

    公开(公告)日:2023-05-11

    申请号:US17524681

    申请日:2021-11-11

    Abstract: Systems and techniques are described herein for modifying the scale and/or position of objects in images. For instance, a system can obtain a two-dimensional (2D) input image from a camera and a three-dimensional (3D) representation of the 2D input image. The system can further determine a first portion of the 3D representation of the 2D input image corresponding to a target object in the 2D input image. The system can adjust a pose of the first portion of the 3D representation of the 2D input image corresponding to the target object. The system can further generate a 2D output image having a modified version of the target object based on the adjusted pose of the first portion of the 3D representation of the 2D input image corresponding to the target object to be output on a display.

    DEPTH-EVENT CAMERA
    3.
    发明申请

    公开(公告)号:US20240427018A1

    公开(公告)日:2024-12-26

    申请号:US18340675

    申请日:2023-06-23

    Abstract: Systems and techniques are described herein for determining changes in distance. For instance, an apparatus for determining changes in distance is provided. The apparatus may include an electromagnetic (EM)-radiation emitter configured to emit EM radiation toward an environment; a detector configured to receive reflected EM radiation from the environment; phase-calculation circuitry configured to calculate a phase-difference value indicative of a difference between a phase of the emitted EM radiation and a phase of the reflected EM radiation; and differencing circuitry configured to trigger an event responsive to a difference between a current phase-difference value and a prior phase-difference value exceeding a threshold.

    SEGMENTATION FOR IMAGE EFFECTS
    4.
    发明申请

    公开(公告)号:US20220108454A1

    公开(公告)日:2022-04-07

    申请号:US17063541

    申请日:2020-10-05

    Abstract: Systems, methods, and computer-readable media are provided for foreground image segmentation. In some examples, a method can include obtaining a first image of a target and a second image of the target, the first image having a first field-of-view (FOV) and the second image having a second FOV; determining, based on the first image, a first segmentation map that identifies a first estimated foreground region in the first image; determining, based on the second image, a second segmentation map that identifies a second estimated foreground region in the second image; generating a third segmentation map based on the first segmentation map and the second segmentation map; and generating, using the second segmentation map and the third segmentation map, a refined segmentation mask that identifies the target as a foreground region of the first and/or second image.

    SYSTEMS AND METHODS FOR SEGMENTATION MAP ERROR CORRECTION

    公开(公告)号:US20250148777A1

    公开(公告)日:2025-05-08

    申请号:US18505010

    申请日:2023-11-08

    Abstract: Imaging systems and techniques are described. In some examples, an imaging system generates a segmentation map of an image by processing image data associated with the image using a segmentation mapper. Different object types in the image are categorized into different regions in the segmentation map. The imaging system generates an augmented segmentation map by processing at least the segmentation map using a segmentation map error correction engine. The imaging system generates processed image data by processing the image using the augmented segmentation map.

    IMAGE MODIFICATION TECHNIQUES
    6.
    发明公开

    公开(公告)号:US20240112404A1

    公开(公告)日:2024-04-04

    申请号:US18480304

    申请日:2023-10-03

    Abstract: Systems and techniques are described herein for modifying the scale and/or position of objects in images. For instance, a system can obtain a two-dimensional (2D) input image from a camera and a three-dimensional (3D) representation of the 2D input image. The system can further determine a first portion of the 3D representation of the 2D input image corresponding to a target object in the 2D input image. The system can adjust a pose of the first portion of the 3D representation of the 2D input image corresponding to the target object. The system can further generate a 2D output image having a modified version of the target object based on the adjusted pose of the first portion of the 3D representation of the 2D input image corresponding to the target object to be output on a display.

    GENERATING EFFECTS ON IMAGES USING DISPARITY GUIDED SALIENT OBJECT DETECTION

    公开(公告)号:US20210004962A1

    公开(公告)日:2021-01-07

    申请号:US16460860

    申请日:2019-07-02

    Abstract: Systems, methods, and computer-readable media are provided for generating an image processing effect via disparity-guided salient object detection. In some examples, a system can detect a set of superpixels in an image; identify, based on a disparity map generated for the image, an image region containing at least a portion of a foreground of the image; calculate foreground queries identifying superpixels in the image region having higher saliency values than other superpixels in the image region; rank a relevance between each superpixel and one or more foreground queries; generate a saliency map for the image based on the ranking of the relevance between each superpixel and the one or more foreground queries; and generate, based on the saliency map, an output image having an effect applied to a portion of the output image.

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