Dual Camera Based Feature For Face Spoofing Detection | |
Xudong Sun; Lei Huang; Changping Liu | |
2016 | |
会议名称 | Chinese Conference on Pattern Recognition |
会议日期 | 2016.11 |
会议地点 | Chengdu, China |
摘要 |
This paper presents a fused feature using dual cameras for face spoofing detection. The feature takes full advantage of input image pairs in terms of texture and depth. It consists of two parts: 2D component and 3D component. For the former, we propose an algorithm based on image similarity to combine every pair of input images into one gray-level image, from which the 2D feature is extracted. For the latter, based on point feature histograms (PFH) method, we describe the point cloud obtained by stereo reconstruction algorithms. The concatenation of 2D and 3D features above is used to represent the input image pair. Experiments on self collected dataset demonstrate the competitive performance and potential of the proposed feature.
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关键词 | Face Spoofing Detection Dual Cameras Feature Fusion Similarity Measurement |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/20958 |
专题 | 投资企业 |
作者单位 | Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Xudong Sun,Lei Huang,Changping Liu. Dual Camera Based Feature For Face Spoofing Detection[C],2016. |
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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 | ||
Dual Camera Based Fe(714KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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