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.

    DEPTH-EVENT CAMERA
    2.
    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.

    PROCESSING DATA USING CONVOLUTION AS A TRANSFORMER OPERATION

    公开(公告)号:US20240119721A1

    公开(公告)日:2024-04-11

    申请号:US18476033

    申请日:2023-09-27

    CPC classification number: G06V10/82 G06V10/7715 G06V10/806

    Abstract: Systems and techniques are described herein for processing data (e.g., image data) using convolution as a transformer (CAT) operations. The method includes receiving, at a convolution engine of a machine learning system, a first set of features, the first set of features being associated with an image and having a three-dimensional shape, applying, via the convolution engine, a depth-wise separable convolutional filter to the first set of features to generate a first output, applying, via the convolution engine, a pointwise convolutional filter to the first output to generate a second output based on global information from a spatial dimension and a channel dimension associated with the image, modifying the second output to the three-dimensional shape to generate a second set of features and combining the first set of features and the second set of features to generate an output set of features.

    IMAGE MODIFICATION TECHNIQUES
    4.
    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.

    IMAGE MODIFICATION TECHNIQUES
    5.
    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.

    SYSTEMS AND METHODS FOR GENERATING SYNTHETIC DEPTH OF FIELD EFFECTS

    公开(公告)号:US20230091313A1

    公开(公告)日:2023-03-23

    申请号:US17481155

    申请日:2021-09-21

    Abstract: Systems and techniques are described for processing image data to generate an image with a synthetic depth of field (DoF). An imaging system receives first image data of a scene captured by a first image sensor. The imaging system receives second image data of the scene captured by a second image sensor. The first image sensor is offset from the second image sensor by an offset distance. The imaging system generates, using at least the first image data and the second image data as inputs to one or more trained machine learning systems, an image having a synthetic depth of field corresponding to a simulated aperture size. The simulated aperture size is associated with the offset distance. The imaging system outputs the image.

    GENERATING IMAGE CONTENT
    7.
    发明申请

    公开(公告)号:US20250097566A1

    公开(公告)日:2025-03-20

    申请号:US18469398

    申请日:2023-09-18

    Abstract: Systems and techniques are described herein for generating image content. For instance, an apparatus for generating image content is provided. The method may include a user interface configured to: display an image of a field of view; and receive a user input indicative of a desired change to the image, wherein the desired change to the image comprises a change to the field of view; and at least one processor configured to: provide at least part of the image and an indication of the desired change as inputs to a generative machine-learning model; obtain an altered image from the generative machine-learning model, wherein the altered image comprises at least part of the image of the field of view and generated pixels outside of the field of view.

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