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VIDEO-BASED FACE RECOGNITION USING PROBABILISTIC APPEARANCE MANIFOLDS

机译:基于概率外观流形的基于视频的人脸识别

摘要

The present invention meets these needs by providing temporal coherency to recognition systems. One embodiment of the present invention comprises a manifold recognition module to use a sequence of images for recognition. A manifold training module receives a plurality of training image sequences (e.g. from a video camera), each training image sequence including an individual in a plurality of poses, and establishes relationships between the images of a training image sequence. A probabilistic identity module receives a sequence of recognition images including a target individual for recognition, and identifies the target individual based on the relationship of training images corresponding to the recognition images. An occlusion module masks occluded portions of an individual's face to prevent distorted identifications.
机译:本发明通过向识别系统提供时间一致性来满足这些需求。本发明的一个实施例包括使用一系列图像进行识别的流形识别模块。歧管训练模块(例如,从摄像机)接收多个训练图像序列,每个训练图像序列包括多个姿势中的个体,并建立训练图像序列的图像之间的关系。概率身份模块接收包括用于识别的目标个体的识别图像的序列,并且基于与识别图像相对应的训练图像的关系来识别目标个体。遮挡模块遮盖个人面部的遮挡部分,以防止标识失真。

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