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摘要:
Most visual privacy protection methods only hide the identity information of the face images,but the expression,behavior and some other information,which are of great significant in the live broadcast and other scenarios,are also destroyed by the privacy protection process.To this end,this paper introduces a method to remove the identity information while preserving the expression information by performing multi-mode discriminant analysis on the images normalized with AAM algorithm.The face images are decomposed into mutually orthogonal subspaces corresponding to face attributes such as gender,race and expression,each of which owns related characteristic parameters.Then,the expression parameter is preserves to keep the facial expression information while others parameters,including gender and race,are modified to protect face privacy.The experiments show that this method yields well performance on both data utility and privacy protection.
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篇名 Expression Preserved Face Privacy Protection Based on Multi-mode Discriminant Analysis
来源期刊 计算机、材料和连续体(英文) 学科 工学
关键词 PRIVACY protection MULTI-MODE DISCRIMINATION expression-preserving
年,卷(期) 2018,(10) 所属期刊栏目
研究方向 页码范围 107-121
页数 15页 分类号 TP3
字数 语种
DOI
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研究主题发展历程
节点文献
PRIVACY
protection
MULTI-MODE
DISCRIMINATION
expression-preserving
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研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
计算机、材料和连续体(英文)
月刊
1546-2218
江苏省南京市浦口区东大路2号东大科技园A
出版文献量(篇)
346
总下载数(次)
4
总被引数(次)
0
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