Object Recognition Method and Apparatus

    公开(公告)号:US20220245926A1

    公开(公告)日:2022-08-04

    申请号:US17668101

    申请日:2022-02-09

    Abstract: A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.

    Object Recognition Method and Apparatus
    2.
    发明公开

    公开(公告)号:US20240331350A1

    公开(公告)日:2024-10-03

    申请号:US18741072

    申请日:2024-06-12

    CPC classification number: G06V10/761 G06V10/40

    Abstract: A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.

    Object recognition method and apparatus

    公开(公告)号:US12033369B2

    公开(公告)日:2024-07-09

    申请号:US17668101

    申请日:2022-02-09

    CPC classification number: G06V10/761 G06V10/40

    Abstract: A method for optimizing a photographing pose of a user, where the method is applied to an electronic device, and the method includes: displaying a photographing interface of a camera of the electronic device; obtaining a to-be-taken image in the photographing interface; determining, based on the to-be-taken image, that the photographing interface includes a portrait; entering a pose recommendation mode; and presenting a recommended human pose picture to a user in a predetermined preview manner, where the human pose picture is at least one picture that is selected from a picture library through metric learning and that has a top-ranked similarity to the to-be-taken image, and where the similarity is an overall similarity obtained by fusing a background similarity and a foreground similarity.

    Gesture recognition method, electronic device, computer-readable storage medium, and chip

    公开(公告)号:US12210687B2

    公开(公告)日:2025-01-28

    申请号:US17689630

    申请日:2022-03-08

    Abstract: The disclosure provides gesture recognition methods and apparatuses, and relate to the field of artificial intelligence. One example gesture recognition method includes obtaining an image stream, and determining, based on a plurality of consecutive frames of hand images in the image stream, whether a user makes a preparatory action. When the user makes the preparatory action, continuing to obtain an image stream, and determining a gesture action of the user based on a plurality of consecutive frames of hand images in the continuously obtained image stream. Next, further responding to the gesture action to implement gesture interaction with the user. In this application, in order to reduce the erroneous recognition occurring in a gesture recognition process, the preparatory action is determined before gesture recognition is performed.

    Methods and systems for hand gesture-based control of a device

    公开(公告)号:US12093465B2

    公开(公告)日:2024-09-17

    申请号:US17950246

    申请日:2022-09-22

    CPC classification number: G06F3/017 G06V40/20

    Abstract: Methods and systems for gesture-based control of a device are described. An input frame is processed to determine a location of a distinguishing anatomical feature in the input frame. A virtual gesture-space is defined based on the location of the distinguishing anatomical feature, the virtual gesture-space being a defined space for detecting a gesture input. The input frame is processed in only the virtual gesture-space, to detect and track a hand. Using information generated from detecting and tracking the at least one hand, a gesture class is determined for the at least one hand. The device may be a smart television, a smart phone, a tablet, etc.

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