ForenFace: a unique annotated forensic facial image dataset and toolset

被引:9
|
作者
Zeinstra, Chris G. [1 ]
Veldhuis, Raymond N. J. [1 ]
Spreeuwers, Luuk J. [1 ]
Ruifrok, Arnout C. C. [2 ]
Meuwly, Didier [1 ,2 ]
机构
[1] Univ Twente, POB 217, NL-7500 AE Enschede, Netherlands
[2] Netherlands Forens Inst, POB 24044, NL-2490 AA The Hague, Netherlands
关键词
face recognition; image forensics; video signal processing; video surveillance; feature extraction; image sensors; image sequences; image resolution; forensic facial image dataset; forensic facial image toolset; ForenFace; forensic research; video dataset; video sequences; image extraction; surveillance camera; annotated facial feature; commercial software packages; RECOGNITION;
D O I
10.1049/iet-bmt.2016.0160
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Few facial image datasets are suitable for forensic research. In this study, the authors present ForenFace, a facial image and video dataset. It contains video sequences and extracted images of 97 subjects recorded with six different surveillance camera of various types. Moreover, it also contains high-resolution images and 3D scans. The novelty of this dataset lies in two aspects: (i) a subset of 435 images (87 subjects, five images per subject) has been manually annotated, yielding a very rich forensically relevant annotation of almost 19.000 facial parts, and (ii) making available a toolset to create, view, and extract the annotation. The authors present protocols and the result of a baseline experiment in which two commercial software packages and an annotated facial feature contained in this dataset are compared. The dataset, the annotation and tools are available under a usage license.
引用
收藏
页码:487 / 494
页数:8
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