A Facial Pose Estimation Algorithm Using Deep Learning

被引：3

作者：

Xu, Xiao ^{[1
]}

Wu, Lifang ^{[1
]}

Wang, Ke ^{[1
]}

Ma, Yukun ^{[1
]}

Qi, Wei ^{[1
]}

机构：

[1] Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing 100124, Peoples R China

来源：

BIOMETRIC RECOGNITION, CCBR 2015 | 2015年 / 9428卷

关键词：

Facial pose estimation; Convolutional Neural Network; Deep learning;

D O I：

10.1007/978-3-319-25417-3_78

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Pose estimation is one of key issues in face recognition in complex background and human-computer interaction. In this paper, we propose a novel algorithm to estimating facial pose using deep learning. We design a convolutional neural network with four convolutional layers, and a fully-connected layer. The experimental results on CMU-PIE database show that the proposed method outperforms previous traditional methods facial pose.

引用

页码：669 / 676

页数：8

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