Gradient-aware blind face inpainting for deep face verification
Fuzhang Wu1; Yan Kong1; Weiming Dong2; Yanjun Wu1
刊名Neurocomputing
2019
期号331页码:301-311
关键词Blind Inpainting Face Verification Convolutional Neural Network
英文摘要
ID face photos are widely used for identity verification in many business authentication situations. To avoid any infringement and misuse, the ID photos provided by the relevant government agencies and business organizations are always corrupted with designed watermarks, such as random wave lines or meshes. These corrupted images are further compressed with JPEG algorithm to reduce their storage size. The artifacts caused by the random meshes and JPEG compression seriously destroy the original image information and quality, which makes the face verification between the corrupted ID faces and daily life images extremely difficult. To tackle these issues, a preprocessing step called blind inpainting is needed to recover the corrupted ID faces. In this paper, we present a new framework to address this blind face inpainting problem. We use an improved Deep Recursive Residual Network (IDRRN) to learn an effective non-linear mapping between the corrupted and clean ID image pairs. To train the IDRRN model, a unified Euclidean loss function considering both 0- and 1st-order pixel residuals is proposed to enhance the image pixel as well as gradient reconstruction. In addition, we collect a dataset of clean ID images and develop a simulation procedure to generate corresponding corrupted ID face images. Final experiments demonstrate that the recovered ID face images inferred from our IDRRN model achieve the best performance in terms of perceptual error and verification accuracy.
语种英语
WOS记录号WOS:000455210900026
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/23906]  
专题多媒体计算与图形学团队
通讯作者Yanjun Wu
作者单位1.Institute of Software, Chinese Academy of Sciences
2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Fuzhang Wu,Yan Kong,Weiming Dong,et al. Gradient-aware blind face inpainting for deep face verification[J]. Neurocomputing,2019(331):301-311.
APA Fuzhang Wu,Yan Kong,Weiming Dong,&Yanjun Wu.(2019).Gradient-aware blind face inpainting for deep face verification.Neurocomputing(331),301-311.
MLA Fuzhang Wu,et al."Gradient-aware blind face inpainting for deep face verification".Neurocomputing .331(2019):301-311.
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