Face anti-spoofing with generated near-infrared images
文献类型：期刊论文
| 作者 | Jiang, Fangling1,2; Liu, Pengcheng2 ; Shao, Xiaohu2; Zhou, Xiangdong2
|
| 刊名 | MULTIMEDIA TOOLS AND APPLICATIONS
 |
| 出版日期 | 2020-05-04 |
| 页码 | 25 |
| 关键词 | Face anti-spoofing Feature fusing Generative adversarial network Image translation |
| ISSN号 | 1380-7501 |
| DOI | 10.1007/s11042-020-08952-0 |
| 通讯作者 | Jiang, Fangling(jiangfangling@cigit.ac.cn) |
| 英文摘要 | Reflection differences between live faces and spoof faces under near-infrared spectrum make near-infrared image based methods obtain superior performance for face anti-spoofing. However, for conventional face recognition systems, near-infrared image based methods need additional near-infrared equipment to capture the input near-infrared images. In this paper, we propose a novel face anti-spoofing method which exploits the clues in both visible light (VIS) images and near-infrared (NIR) images without utilizing any near-infrared equipment during testing. Specifically, we first propose a novel multiple categories image translation generative adversarial network (MCT-GAN) which generates corresponding NIR images for VIS live and spoof face images. Then we utilize convolution neural network to learn fusing features from both VIS images and corresponding generated NIR images for the goal of live and spoof face classification. Qualitative and quantitative experiments demonstrate that our method obtains excellent results compared to the state-of-the-art methods. |
| 资助项目 | National Key Research and Development Program of China[2018YFC0808300] ; National Natural Science Foundation of China[61806185] ; National Natural Science Foundation of China[61802361] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000530202200003 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/11025]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Jiang, Fangling |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Fangling,Liu, Pengcheng,Shao, Xiaohu,et al. Face anti-spoofing with generated near-infrared images[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2020:25. |
| APA | Jiang, Fangling,Liu, Pengcheng,Shao, Xiaohu,&Zhou, Xiangdong.(2020).Face anti-spoofing with generated near-infrared images.MULTIMEDIA TOOLS AND APPLICATIONS,25. |
| MLA | Jiang, Fangling,et al."Face anti-spoofing with generated near-infrared images".MULTIMEDIA TOOLS AND APPLICATIONS (2020):25. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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