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SIAMESE RECONSTRUCTION CONVOLUTIONAL NEURAL NETWORK FOR POSE-INVARIANT FACE RECOGNITION

机译:用于姿态不变人脸识别的SIAMESE重建卷积神经网络

摘要

A computer-implemented method, system, and computer program product is provided for pose-invariant facial recognition. The method includes generating, by a processor using a recognition neural network (150), a rich feature embedding for identity information and non-identity information for each of one or more images. The method also includes generating, by the processor using a Siamese reconstruction network (160), one or more pose-invariant features (170) by employing the rich feature embedding for identity information and non-identity information. The method additionally includes identifying, by the processor, a user (180) by employing the one or more pose-invariant features. The method further includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the one or more images.
机译:提供了用于姿势不变的面部识别的计算机实现的方法,系统和计算机程序产品。该方法包括由处理器使用识别神经网络(150)生成丰富特征嵌入,该丰富特征嵌入用于一个或多个图像中的每一个的身份信息和非身份信息。该方法还包括通过处理器使用暹罗重建网络(160),通过为身份信息和非身份信息采用丰富特征嵌入来生成一个或多个姿势不变特征(170)。该方法另外包括由处理器通过采用一个或多个姿势不变特征来识别用户(180)。该方法还包括响应于一个或多个图像中的所识别的用户,控制基于处理器的机器的操作以改变基于处理器的机器的状态。

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