Display apparatus and control method thereof

    公开(公告)号:US11902502B2

    公开(公告)日:2024-02-13

    申请号:US17246039

    申请日:2021-04-30

    Abstract: A display apparatus and a control method thereof are provided. The display apparatus includes a communication interface configured to receive captured images and information related to the captured images; a display; and a processor configured to: obtain an object disparity of an object included in the captured images and a number of the captured images based on the information related to the captured images; identify whether a display disparity representable by the display matches the object disparity; based on the display disparity not matching the object disparity, generate interpolated images by performing image interpolation based on the display disparity, the object disparity, and the number of the captured images; and control the display to display a three-dimensional content based on the captured images and the interpolated images.

    Fitness action recognition model, method of training model, and method of recognizing fitness action

    公开(公告)号:US11854306B1

    公开(公告)日:2023-12-26

    申请号:US18343334

    申请日:2023-06-28

    CPC classification number: G06V40/23 G06V10/764 G06V10/7715 G06V2201/12

    Abstract: A model including an information extraction layer that obtains image information of a training object in a depth image; a pixel point positioning layer that performs position estimation on a three-dimensional coordinate of human-body key points, defines a body part of the training object as a body component, and calibrates a three-dimensional coordinate of all human-body key points corresponding to the body component; a feature extraction layer that extracts a key-point position feature, a body moving speed feature, and a key-point moving speed feature for action recognition; a vector dimensionality reduction layer that combines the key-point position feature, the body moving speed feature, and the key-point moving speed feature as a multidimensional feature vector, and performs dimensionality reduction on the multidimensional feature vector; and a feature vector classification layer that classifies the multidimensional feature vector that is performed with dimensionality reduction, to recognize a fitness action of the training object.

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