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Face Recognition System For Real Image Judgment Using Face Recognition Model Based on Deep Learning

机译:基于深度学习的面部识别模型真实图像判断的人脸识别系统

摘要

The face recognition system that can determine the real image using a deep learning-based face recognition model that can determine whether it is a real image of a person photographed with a two-dimensional face image is the face image from the face image input to the neural network. a real feature vector extracting unit for extracting at least one of a depth feature vector expressing the depth of an image, a reflection feature vector expressing light reflection of the face image, and an RGB feature vector expressing RGB of the face image; a feature vector fusion unit generating a fusion feature vector by fusing at least one of the depth feature vector and the reflection feature vector with the RGB feature vector; and a determination unit that determines whether the face image is a real image of a person by using the fusion feature vector.
机译:可以使用基于深度学习的面部识别模型来确定真实图像的面部识别系统,其可以确定它是否是用二维面部拍摄的人拍摄的人的真实图像是从面部图像输入到的面部图像神经网络。一种真实特征向量提取单元,用于提取表达图像深度的深度特征向量中的至少一个,表示表达面部图像的光反射的反射特征向量,以及表达面部图像的RGB的RGB特征向量;通过融合至少一个深度特征向量和具有RGB特征向量的反射特征向量,产生融合特征向量的特征矢量融合单元;并且确定单元通过使用融合特征向量来确定面部图像是否是人的真实图像。

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