Method of generating feature vector, generating histogram, and learning classifier for recognition of behavior
    13.
    发明授权
    Method of generating feature vector, generating histogram, and learning classifier for recognition of behavior 有权
    生成特征向量,生成直方图和学习分类器以识别行为的方法

    公开(公告)号:US09436890B2

    公开(公告)日:2016-09-06

    申请号:US14562948

    申请日:2014-12-08

    CPC classification number: G06K9/4642 G06K9/00335 G06K9/4604

    Abstract: Example embodiments disclose a method of generating a feature vector, a method of generating a histogram, a learning unit classifier, a recognition apparatus, and a detection apparatus, in which a feature point is detected from an input image based on a dominant direction analysis of a gradient distribution, and a feature vector corresponding to the detected feature point is generated.

    Abstract translation: 示例性实施例公开了一种生成特征向量的方法,生成直方图的方法,学习单元分类器,识别装置和检测装置,其中基于主导方向分析从输入图像检测特征点 生成与检测出的特征点对应的梯度分布和特征向量。

    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.

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