Dual Camera Based Feature for Face Spoofing Detection

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 graylevel 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.

关键词： Face spoofing detection Dual cameras Feature fusion Similarity measurement

作者: Xudong Sun Lei Huang Changping Liu

作者单位: Institute of Automation,Chinese Academy of Sciences,95 Zhongguancun East Road,Beijing 100190,China

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 332-344

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）