Liveness test method and apparatus
    12.
    发明授权

    公开(公告)号:US11721131B2

    公开(公告)日:2023-08-08

    申请号:US17468995

    申请日:2021-09-08

    CPC classification number: G06V40/45 G06V40/161 G06V40/169 G06V40/172

    Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

    Method and apparatus with emotion recognition

    公开(公告)号:US11093734B2

    公开(公告)日:2021-08-17

    申请号:US16182861

    申请日:2018-11-07

    Abstract: A method and apparatus with emotion recognition acquires a plurality of pieces of data corresponding a plurality of inputs for each modality and corresponding to a plurality of modalities; determines a dynamics representation vector corresponding to each of the plurality of modalities based on a plurality of features for each modality extracted from the plurality of pieces of data; determines a fused representation vector based on the plurality of dynamics representation vectors corresponding to the plurality of modalities; and recognizes an emotion of a user based on the fused representation vector.

    Liveness test method and apparatus
    17.
    发明授权

    公开(公告)号:US10121059B2

    公开(公告)日:2018-11-06

    申请号:US15656350

    申请日:2017-07-21

    Abstract: A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.

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