激光与光电子学进展, 2020, 57 (16): 161005, 网络出版: 2020-08-05   

融合梯度特征的轻量级神经网络的人脸识别 下载: 774次

Face Recognition Based on Lightweight Neural Network Combining Gradient Features
作者单位
1 东北石油大学电子科学学院, 黑龙江 大庆 163318
2 黑龙江省高校校企共建测试计量技术及仪器仪表工程研发中心, 黑龙江 大庆163318
引用该论文

刘祥楼, 李天昊, 张明. 融合梯度特征的轻量级神经网络的人脸识别[J]. 激光与光电子学进展, 2020, 57(16): 161005.

Xianglou Liu, Tianhao Li, Ming Zhang. Face Recognition Based on Lightweight Neural Network Combining Gradient Features[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161005.

参考文献

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[6] Liu WY, Wen YD, Yu ZD, et al.SphereFace: deep hypersphere embedding for face recognition[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 6738- 6746.

[7] Zhang Q, Zhuo L, Li J F, et al. Vehicle color recognition using multiple-layer feature representations of lightweight convolutional neural network[J]. Signal Processing, 2018, 147: 146-153.

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[9] 司琴, 李菲菲, 陈虬. 基于深度学习与特征融合的人脸识别算法[J]. 电子科技, 2020, 33(4): 18-22.

    Si Q, Li F F, Chen Q. Face recognition algorithm based on deep learning and feature fusion[J]. Electronic Science and Technology, 2020, 33(4): 18-22.

[10] Zhang T P, Tang Y Y, Fang B, et al. Face recognition under varying illumination using gradient faces[J]. IEEE Transactions on Image Processing, 2009, 18(11): 2599-2606.

刘祥楼, 李天昊, 张明. 融合梯度特征的轻量级神经网络的人脸识别[J]. 激光与光电子学进展, 2020, 57(16): 161005. Xianglou Liu, Tianhao Li, Ming Zhang. Face Recognition Based on Lightweight Neural Network Combining Gradient Features[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161005.

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