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    AVATAR ANIMATION SYSTEM
    2.
    发明申请
    AVATAR ANIMATION SYSTEM 审中-公开

    公开(公告)号：US20170256086A1

    公开(公告)日：2017-09-07

    申请号：US15124811

    申请日：2015-12-18

    Applicant: INTEL CORPORATION

    Inventor： MINJE PARK ,  TAE-HOON KIM ,  MYUNG-HO JU ,  JIHYEON YI ,  XIAOLU SHEN ,  LIDAN ZHANG ,  QIANG LI

    IPC: G06T13/40 ,  G06T7/73

    CPC classification number: G06T13/40 ,  G06T7/73 ,  G06T17/20 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06T2210/44

    Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor. The machine learning component may be trained using a set of training images that depict human facial expressions and avatar animation authored by professional animators to reflect facial expressions depicted in the set of training images.

    AUTOMATIC TARGET SELECTION FOR MULTI-TARGET OBJECT TRACKING
    3.
    发明申请
    AUTOMATIC TARGET SELECTION FOR MULTI-TARGET OBJECT TRACKING 有权
    用于多目标对象跟踪的自动目标选择

    公开(公告)号：US20160140391A1

    公开(公告)日：2016-05-19

    申请号：US14541631

    申请日：2014-11-14

    Applicant: Intel Corporation

    Inventor： TAE-HOON KIM ,  MINJE PARK

    IPC: G06K9/00 ,  H04N7/18 ,  G06K9/62 ,  G06K9/46 ,  G06T7/20

    CPC classification number: G06K9/00624 ,  G06K9/3241 ,  G06K9/46 ,  G06K9/6201 ,  G06K2009/3291 ,  G06T7/20 ,  H04N5/232 ,  H04N7/18

    Abstract: Techniques related to automatic target object selection from multiple tracked objects for imaging devices are discussed. Such techniques may include generating one or more object selection metrics such as accumulated distances from frame center, accumulated velocities, and trajectory comparisons of predicted to actual trajectories for tracked objects and selecting the target object based on the object selection metric or metrics.

    Abstract translation: 讨论了与用于成像设备的多个跟踪对象的自动目标对象选择相关的技术。 这样的技术可以包括生成一个或多个对象选择度量，例如来自帧中心的累积距离，累积速度，以及针对跟踪对象的预测到实际轨迹的轨迹比较，以及基于对象选择度量或度量来选择目标对象。

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