De-identifying facial images using singular value decomposition and projections

被引：2
|
作者：
Chriskos, P. [1 ]
Zoidi, O. [1 ]
Tefas, A. [1 ]
Pitas, I. [1 ,2 ]
机构：
[1] Aristotle Univ Thessloniki, Dept Informat, Thessaloniki 54124, Greece
[2] Univ Bristol, Dept Elect & Elect Engn, Bristol, Avon, England
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2017年 / 76卷 / 03期
关键词：
Face de-idenification; Privacy protection; Singular value decomposition; Projections on hyperspheres;
D O I：
10.1007/s11042-016-4069-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, two methods are presented that manipulate images to hinder automatic face identification. They partly degrade image quality, so that humans can identify the persons in a scene, while face identification algorithms fail to do so. The approaches used involve: a) singular value decomposition (SVD) and b) image projections on hyperspheres. Simulation experiments verify that these methods reduce the percentage of correct face identification rate by over 90 %. Additionally, the final image is not degraded beyond recognition by humans, in contrast with the majority of other de-identification methods.
引用
收藏
页码：3435 / 3468
页数：34
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