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REDUCING COLLISION-BASED DEFECTS IN MOTION-STYLIZATION OF VIDEO CONTENT DEPICTING CLOSELY SPACED FEATURES

机译:减少描述紧密空间特征的视频内容的运动样式化中基于碰撞的缺陷

摘要

Embodiments involve reducing collision-based defects in motion-stylizations. For example, a device obtains facial landmark data from video data. The facial landmark data includes a first trajectory traveled by a first point tracking one or more facial features, and a second trajectory traveled by a second point tracking one or more facial features. The device applies a motion-stylization to the facial landmark data that causes a first change to one or more of the first trajectory and the second trajectory. The device also identifies a new collision between the first and second points that is introduced by the first change. The device applies a modified stylization to the facial landmark data that causes a second change to one or more of the first trajectory and the second trajectory. If the new collision is removed by the second change, the device outputs the facial landmark data with the modified stylization applied.
机译:实施例涉及减少运动风格化中基于碰撞的缺陷。例如,设备从视频数据获得面部界标数据。面部界标数据包括由跟踪一个或多个面部特征的第一点行进的第一轨迹和由跟踪一个或多个面部特征的第二点行进的第二轨迹。该设备将运动风格化应用于面部界标数据,该运动风格化导致对第一轨迹和第二轨迹中的一个或多个进行第一改变。该设备还识别由第一变化引入的第一和第二点之间的新碰撞。该设备对面部界标数据应用修改的样式化,这导致对第一轨迹和第二轨迹中的一个或多个的第二改变。如果通过第二次更改消除了新的碰撞,则设备将输出应用了修改的样式的面部界标数据。

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