激光与光电子学进展, 2019, 56 (24): 241505, 网络出版: 2019-11-26
基于属性驱动损失函数的人脸识别算法 下载: 757次
Face Recognition Algorithm Based on Attribute-Driven Loss Function
机器视觉 人脸识别 卷积神经网络 人脸属性 machine vision face recognition convolutional neural network facial attributes
摘要
为使通过卷积神经网络学习到的人脸识别特征更容易判别,在角度距离损失函数A-Softmax的基础上进行改进,将人脸属性融入到训练过程中,如性别、年龄和种族。使用属性驱动损失函数,利用属性邻近性对特征映射进行正则化,实验结果表明本方法学习到更多与属性相关的鉴别特征。本文改进算法在人脸验证数据集(包括LFW,CFP,AgeDB和 MegaFace)上均取得不错的效果,验证了该改进算法的有效性。
Abstract
To make the face recognition features learned from the convolutional neural network easier to identify, this paper improves the angular distance loss function A-Softmax by incorporating the facial attributes, such as gender, age, and race, into the training process. By using an attribute-driven loss function and regularizing the feature mapping with attribute proximity, the experimental result shows that more attribute-related discriminating features are learned by the proposed method. The improved algorithm has achieved good results in the face verification datasets, such as LFW, CFP, AgeDB, and MegaFace, verifying the effectiveness of the improved algorithm.
李燊, 苏寒松, 刘高华, 吴慧华, 王萌. 基于属性驱动损失函数的人脸识别算法[J]. 激光与光电子学进展, 2019, 56(24): 241505. Shen Li, Hansong Su, Gaohua Liu, Huihua Wu, Meng Wang. Face Recognition Algorithm Based on Attribute-Driven Loss Function[J]. Laser & Optoelectronics Progress, 2019, 56(24): 241505.