Image processing method and apparatus

    公开(公告)号:US12086940B2

    公开(公告)日:2024-09-10

    申请号:US17832847

    申请日:2022-06-06

    Abstract: An image processing method is provided. The method includes generating appearance information corresponding to a canonical space defined by a cube including a plurality of regular grids in a first input image by implementing a first neural network, generating geometric information corresponding to a standard space in a second input image by implementing a second neural network, deforming the plurality of regular grids based on the generated geometric information, generating standardized image information by applying the appearance information to the plurality of deformed regular grids, and generating an output image based on the standardized image information.

    Method and apparatus for estimating position

    公开(公告)号:US11023748B2

    公开(公告)日:2021-06-01

    申请号:US16295326

    申请日:2019-03-07

    Abstract: A method of estimating a position includes: determining a first rotation reference point based on localization information estimated for a target and map data; estimating a second rotation reference point from image data associated with a front view of the target; and correcting the localization information using a rotation parameter calculated based on the first rotation reference point and the second rotation reference point.

    Image processing method and apparatus

    公开(公告)号:US10546392B2

    公开(公告)日:2020-01-28

    申请号:US15591378

    申请日:2017-05-10

    Abstract: A method to process an image includes: determining a first specular reflection element from an input image based on a feature of chromaticity of pixels included in the input image; extracting a second specular reflection element from the first specular reflection element based on a feature of brightness of the pixels; and correcting the input image based on the second specular reflection element.

    Method and apparatus with image processing and reconstructed image generation

    公开(公告)号:US12198266B2

    公开(公告)日:2025-01-14

    申请号:US17487240

    申请日:2021-09-28

    Abstract: A processor-implemented method includes: determining albedo data in a canonical space and depth data in the canonical space based on input image data including an object, using one or more neural network-based extraction models; generating deformed albedo data and deformed depth data by applying a target shape deformation value respectively to the albedo data and the depth data; generating resultant shaded data by performing shading based on the deformed depth data and a target illumination value; generating intermediate image data based on the resultant shaded data and the deformed albedo data; and generating reconstructed image data from the intermediate image data and the deformed depth data based on a target pose value.

    Neural network recogntion and training method and apparatus

    公开(公告)号:US11586925B2

    公开(公告)日:2023-02-21

    申请号:US15946800

    申请日:2018-04-06

    Abstract: Disclosed is a recognition and training method and apparatus. The apparatus may include a processor configured to input data to a neural network, determine corresponding to a multiclass output a mapping function of a first class and a mapping function of a second class, acquire a result of a loss function including a first probability component that changes correspondingly to a function value of the mapping function of the first class and a second probability component that changes contrastingly to a function value of the mapping function of the second class, determine a gradient of loss corresponding to the input data based on the result of the loss function, update a parameter of the neural network based on the determined gradient of loss for generating a trained neural network based on the updated parameter. The apparatus may input other data to the trained neural network, and indicate a recognition result.

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