WEIGHTED MASK GENERATING APPARATUS, WEIGHTED MASK GENERATING METHOD AND PROGRAM

    公开(公告)号:US20220172383A1

    公开(公告)日:2022-06-02

    申请号:US17441018

    申请日:2020-03-11

    Abstract: A weight mask generation device includes: a displacement amount derivation unit that derives displacement amounts of feature points in an entire region of a face shape; a separation unit that derives separated displacement amounts, each of which is a displacement amount of each feature point for every deformation pattern of a partial region of the face shape, based on the displacement amounts of the feature points in the entire region of the face shape and deformation degrees for every deformation pattern of the partial regions of the face shape; a normalization unit that derives normalized and separated displacement amounts, which are obtained by normalizing the separated displacement amounts, for every deformation pattern of the partial regions of the face shape; and a weight value generation unit that generates weight values of the feature points in the entire region of the face shape based on the normalized and separated displacement amounts for every deformation pattern of the partial regions of the face shape and the deformation degrees for every deformation pattern of the partial regions of the face shape.

    FACIAL EXPRESSION LABELING APPARATUS, FACIAL EXPRESSION LABELLING METHOD, AND PROGRAM

    公开(公告)号:US20220406093A1

    公开(公告)日:2022-12-22

    申请号:US17777612

    申请日:2019-11-19

    Abstract: A facial expression label is assigned to face image data of a person with high accuracy. A facial expression data set storage unit (110) stores a facial expression data set in which the facial expression label is assigned to the face images in which people belonging to various groups show various facial expressions. A facial expression sampling unit (11) acquires a face image in which a person belonging to the desired group shows a desired facial expression. A representative feature quantity calculation unit (12) determines a representative feature quantity for each facial expression label from the face image of the desired group. The target data extraction unit (13) extracts target data from a facial expression data set. A target feature quantity calculation unit (14) calculates a target feature quantity from the target data. A corrected label determination unit (15) determines a corrected label to be assigned to the target data by comparing the target feature quantity and each of the representative feature quantities. The label assignment unit (16) assigns a corrected label to the target data.

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