Electronic apparatus and control method thereof

    公开(公告)号:US11900722B2

    公开(公告)日:2024-02-13

    申请号:US17087005

    申请日:2020-11-02

    Abstract: An electronic apparatus may include a processor configured to: obtain an image captured by a camera; obtain a downscaled image by downscaling the captured image, wherein the downscaled image has an image that is less than a critical resolution, identify a region of interest included in the downscaled image by inputting the downscaled image into a first artificial intelligence model, the first artificial intelligence model being trained to identify a region of interest in an image; extract, from the captured image, an object image in the captured image corresponding to the identified region of interest, and obtain information on an object region included in the captured image by inputting the extracted object image into a second artificial intelligence model, the second artificial intelligence model being configured to identify an object region in an input image.

    Electronic apparatus and method for controlling thereof

    公开(公告)号:US11417007B2

    公开(公告)日:2022-08-16

    申请号:US17091802

    申请日:2020-11-06

    Abstract: A method of controlling an electronic apparatus includes acquiring an image and depth information of the acquired image; inputting the acquired image into a neural network model trained to acquire information on objects included in the acquired image; acquiring an intermediate feature value output by an intermediate layer of the neural network model; identifying a feature area for at least one object among the objects included in the acquired image based on the intermediate feature value; and acquiring distance information between the electronic apparatus and the at least one object based on the feature area for the at least one object and the depth information.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20210150192A1

    公开(公告)日:2021-05-20

    申请号:US17087005

    申请日:2020-11-02

    Abstract: An electronic apparatus may include a processor configured to: obtain an image captured by a camera; obtain a downscaled image by downscaling the captured image, wherein the downscaled image has an image that is less than a critical resolution, identify a region of interest included in the downscaled image by inputting the downscaled image into a first artificial intelligence model, the first artificial intelligence model being trained to identify a region of interest in an image; extract, from the captured image, an object image in the captured image corresponding to the identified region of interest, and obtain information on an object region included in the captured image by inputting the extracted object image into a second artificial intelligence model, the second artificial intelligence model being configured to identify an object region in an input image.

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