TY - JOUR
T1 - ForenFace
T2 - A unique annotated forensic facial image dataset and toolset
AU - Zeinstra, Chris G.
AU - Veldhuis, Raymond N.J.
AU - Spreeuwers, Luuk J.
AU - Ruifrok, Arnout C.C.
AU - Meuwly, Didier
PY - 2017/11/1
Y1 - 2017/11/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85034656264&partnerID=8YFLogxK
U2 - 10.1049/iet-bmt.2016.0160
DO - 10.1049/iet-bmt.2016.0160
M3 - Article
AN - SCOPUS:85034656264
VL - 6
SP - 487
EP - 494
JO - IET biometrics
JF - IET biometrics
SN - 2047-4938
IS - 6
ER -