Publication Details
3D Face Reconstruction for Forensic Recognition - A Survey
Orr Giulia (unica)
Goldmann Tomáš, Ing. (DITS FIT BUT)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
Marcialis Gian Luca (unica)
face, face recognition, 3D face reconstruction
3D face reconstruction algorithms from images and
videos are applied to many fields, from plastic surgery to the
entertainment sector, thanks to their advantageous features. How-
ever, when looking at forensic applications, 3D face reconstruction
must observe strict requirements that still make unclear its
possible role in bringing evidence to a lawsuit. Shedding some
light on this matter is the goal of the present survey, where we
start by clarifying the relation between forensic applications and
biometrics. To our knowledge, no previous work adopted this
relation to make the point on the state of the art. Therefore, we
analyzed the achievements of 3D face reconstruction algorithms
from surveillance videos and mugshot images and discussed the
current obstacles that separate 3D face reconstruction from an
active role in forensic applications
@INPROCEEDINGS{FITPUB12667,
author = "Maurizio Simone Cava La and Giulia Orr and Tom\'{a}\v{s} Goldmann and Martin Drahansk\'{y} and Luca Gian Marcialis",
title = "3D Face Reconstruction for Forensic Recognition - A Survey",
pages = "930--937",
booktitle = "2022 26th International Conference on Pattern Recognition (ICPR)",
year = 2022,
location = "Manhattan, New York, US",
ISBN = "978-1-6654-9062-7",
doi = "10.1109/ICPR56361.2022.9956031",
language = "english",
url = "https://www.fit.vut.cz/research/publication/12667"
}