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    • 7. 发明申请
    • GENERAL MOTION-BASED FACE RECOGNITION
    • 一般运动的面部识别
    • WO2011155902A1
    • 2011-12-15
    • PCT/SG2011/000208
    • 2011-06-10
    • NATIONAL UNIVERSITY OF SINGAPOREYE, NingSIM, Terence, Mong, Cheng
    • YE, NingSIM, Terence, Mong, Cheng
    • G06T7/00G06T15/04G06K9/00
    • G06K9/00261G06K9/00315
    • A local deformation profile for two or more facial expressions in two or more video clips is generated. The local deformation profile includes motion information such as the direction or magnitude of displacement of a point on the individual's face during the course of an expression. Motion and deformation data from two or more local deformation profiles wherein an individual is expressing different facial expressions may be compared to determine if a same individual is in both video clips. If the individual's localized facial motion is similar in the two video clips it suggests a high confidence in the deformation computation. A small difference in deformation patterns of the video clips along with a similar localized facial motion suggests a same individual is in the two or more video clips. Thus, an individual expressing facial expressions may be identified in video clips.
    • 生成两个或多个视频剪辑中的两个或多个面部表情的局部变形曲线。 局部变形曲线包括运动信息,例如在表达过程中个体的脸上的点的位移的方向或大小。 可以比较来自两个或更多个局部变形曲线的运动和变形数据,其中个体正在表达不同的面部表情,以确定相同的个体是否在两个视频剪辑中。 如果个人的局部面部运动在两个视频剪辑中相似,则表明对变形计算的高度置信度。 视频剪辑的变形模式与类似的局部脸部动作的小差异表明,相同的个体在两个或多个视频剪辑中。 因此,可以在视频剪辑中识别表达面部表情的个体。