Knowledge Commons of Institute of Automation,CAS
Face Synthesis for Eyeglasss-Robust Face Recognition | |
Guo JZ(郭建珠)1,2; Zhu XY(朱翔昱)1,2; Lei Z(雷震)1,2; Li ZQ(李子青)1,2 | |
2018 | |
会议名称 | Proceedings of the 13th Chinese Conference on Biometrics, (CCBR2018) |
会议录名称 | Lecture Notes in Computer Science |
期号 | 10996 |
会议日期 | 2018 |
会议地点 | 乌鲁木齐 |
出版者 | Springer |
摘要 | In the application of face recognition, eyeglasses could significantly degrade the recognition accuracy. A feasible method is to collect large-scale face images with eyeglasses for training deep learning methods. However, it is difficult to collect the images with and without glasses of the same identity, so that it is difficult to optimize the intra-variations caused by eyeglasses. In this paper, we propose to address this problem in a virtual synthesis manner. The high-fidelity face images with eyeglasses are synthesized based on 3D face model and 3D eyeglasses. Models based on deep learning methods are then trained on the synthesized eyeglass face dataset, achieving better performance than previous ones. Experiments on the real face database validate the effectiveness of our synthesized data for improving eyeglass face recognition performance. |
DOI | 10.1007/978-3-319-97909-0\_30 |
收录类别 | EI |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23069 |
专题 | 多模态人工智能系统全国重点实验室_生物识别与安全技术 |
通讯作者 | Zhu XY(朱翔昱) |
作者单位 | 1.中国科学院自动化所 2.中国科学院大学 |
推荐引用方式 GB/T 7714 | Guo JZ,Zhu XY,Lei Z,et al. Face Synthesis for Eyeglasss-Robust Face Recognition[C]:Springer,2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Guo2018_Chapter_Face(1926KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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