METHOD AND APPARATUS WITH LIVENESS DETECTION

    公开(公告)号:US20220027649A1

    公开(公告)日:2022-01-27

    申请号:US17313437

    申请日:2021-05-06

    Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.

    METHOD AND APPARATUS WITH ATTENTION-BASED OBJECT ANALYSIS

    公开(公告)号:US20240153130A1

    公开(公告)日:2024-05-09

    申请号:US18342892

    申请日:2023-06-28

    CPC classification number: G06T7/73 G06T7/50 G06V10/25 G06V10/764 G06V10/771

    Abstract: An apparatus includes one or more processors configured to generate a plurality of feature maps having respective different resolutions based on an input image; and update, for each of the plurality of transformer layers, respective position estimation information comprising first position information of a respective bounding box corresponding to one object query and second position information of respective key points corresponding to the one object query, wherein each of the plurality of transformer layers includes a self-attention model configured to generate respective intermediate data by performing self-attention on respective content information on a feature of the input image; and a cross-attention model configured to generate respective output data by performing cross-attention on respective one or more feature maps among the plurality of feature maps and the respective generated intermediate data.

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