一种操作控制的方法及装置
    1.
    发明申请

    公开(公告)号:WO2021258978A1

    公开(公告)日:2021-12-30

    申请号:PCT/CN2021/096269

    申请日:2021-05-27

    Abstract: 一种操作控制的方法及装置,其中,该方法包括:获取目标用户的人脸图像(S101);检测所述人脸图像中目标部位的位置信息(S102);基于检测到的位置信息,在所述人脸图像上与检测到的位置信息对应的相对位置处展示处于初始展示形态的目标虚拟道具(S103);根据检测到的所述目标部位的状态信息,调整所述目标虚拟道具的展示形态(S104)。该方法可以实现用户对虚拟道具展示形态的实时控制,实现了用户人脸图像与虚拟道具的配合展示,增强了对虚拟道具进行操作的现实体验,另外,由于虚拟道具代替了现实道具,还起到了节省素材成本、保护环境(减少现实道具垃圾)、以及便于统计操作结果的作用。

    FACIAL CAPTURE ARTIFICIAL INTELLIGENCE FOR TRAINING MODELS

    公开(公告)号:WO2022212787A1

    公开(公告)日:2022-10-06

    申请号:PCT/US2022/022953

    申请日:2022-03-31

    Inventor: WEDIG, Geoff

    Abstract: Methods and systems are provided for training a model using a simulated character for animating a facial expression of a game character. The method includes generating facial expressions of the simulated character using input label value files (iLVFs). The method includes capturing mesh data of the simulated character using a virtual camera to generate three- dimensional (3D) depth data of a face of the simulated character. In one embodiment, the 3D depth data being output as mesh files corresponding to frames captured by the virtual camera. The method includes processing the iLVFs and the mesh data to train the model. In one embodiment, the model is configured to receive input mesh files from a human actor to generate output label value files (oLVFs) that are used for animating the facial expression of the game character. In this way, a real human actor is not required for training the model.

    表情识别模型训练方法、装置、终端设备及存储介质

    公开(公告)号:WO2022062403A1

    公开(公告)日:2022-03-31

    申请号:PCT/CN2021/091086

    申请日:2021-04-29

    Inventor: 易苗

    Abstract: 本申请适用于生物识别技术领域,提供了一种表情识别模型训练方法、装置、终端设备及存储介质,方法包括:获取第一表情数据,并对所述第一表情数据进行数据增广,生成第二表情数据;将所述第二表情数据输入至预设的人脸识别模型中,以提取所述第二表情数据的监督特征;根据所述第二表情数据及其监督特征,对预设的初始表情识别模型进行训练,得到所述表情识别模型。采样上述方法得到的表情识别模型可以提高人脸表情识别的准确率。

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