METHODS FOR DETERMINING A PLANES, METHODS FOR DISPLAYING AUGMENTED REALITY DISPLAY INFORMATION AND CORRESPONDING DEVICES

    公开(公告)号:US20210398353A1

    公开(公告)日:2021-12-23

    申请号:US17290098

    申请日:2018-10-30

    Abstract: The present invention provides a method for determining a plane, a method for displaying Augmented Reality (AR) display information and corresponding devices. The method comprises the steps of: performing region segmentation and depth estimation on multimedia information; determining, according to the result of region segmentation and the result of depth estimation, 3D plane information of the multimedia information; and, displaying AR display information according to the 3D plane information corresponding to the multimedia information. With the method for determining a plane, the method for displaying AR display information and the corresponding devices provided by the present invention, virtual display information can be added into a 3D plane, the reality of the display effect of enhanced display can be improved, and the user experience can be improved.

    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20210248181A1

    公开(公告)日:2021-08-12

    申请号:US17171117

    申请日:2021-02-09

    Abstract: An electronic device and a method for controlling thereof are provided. A method for controlling an electronic device according to the disclosure includes obtaining a plurality of images for performing clustering, obtaining a plurality of target areas corresponding to each of the plurality of images, obtaining a plurality of feature vectors corresponding to the plurality of target areas, obtaining a plurality of central nodes corresponding to the plurality of feature vectors, obtaining neighbor nodes associated with each of the plurality of central nodes, obtaining a subgraph based on the plurality of central nodes and the neighbor nodes, identifying the connection probabilities between the plurality of central nodes of the subgraph and the neighbor nodes of each of the plurality of central nodes based on a graph convolutional network, and clustering the plurality of target areas based on the identified connection probabilities.

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