FaceHash: Face Detection and Robust Hashing

被引:1
|
作者
Steinebach, Martin [1 ]
Liu, Huajian [1 ]
Yannikos, York [1 ]
机构
[1] Fraunhofer SIT, Rheinstr 75, D-642955 Darmstadt, Germany
来源
DIGITAL FORENSICS AND CYBER CRIME, (ICDF2C 2013) | 2014年 / 132卷
关键词
Robust image hash; Face detection; Blob detection;
D O I
10.1007/978-3-319-14289-0_8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we introduce a concept to counter the current weakness of robust hashing with respect to cropping. We combine face detectors and robust hashing. By doing so, the detected faces become a subarea of the overall image which always can be found as long as cropping of the image does not remove the faces. As the face detection is prone to a drift effect altering size and position of the detected face, further mechanisms are needed for robust hashing. We show how face segmentation utilizing blob algorithms can be used to implement a face-based cropping robust hash algorithm.
引用
收藏
页码:102 / 115
页数:14
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