Publication result detail

3D Face Reconstruction for Forensic Recognition - A Survey

LA CAVA, S.; ORR, G.; GOLDMANN, T.; DRAHANSKÝ, M.; MARCIALIS, G.

Original Title

3D Face Reconstruction for Forensic Recognition - A Survey

English Title

3D Face Reconstruction for Forensic Recognition - A Survey

Type

Paper in proceedings (conference paper)

Original Abstract

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

English abstract

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

Keywords

face, face recognition, 3D face reconstruction

Key words in English

face, face recognition, 3D face reconstruction

Authors

LA CAVA, S.; ORR, G.; GOLDMANN, T.; DRAHANSKÝ, M.; MARCIALIS, G.

RIV year

2023

Released

29.11.2022

Location

Manhattan, New York

ISBN

978-1-6654-9062-7

Book

2022 26th International Conference on Pattern Recognition (ICPR)

Pages from

930

Pages to

937

Pages count

8

BibTex

@inproceedings{BUT181528,
  author="Simone Maurizio {La Cava} and Giulia {Orrù} and Tomáš {Goldmann} and Martin {Drahanský} and Gian Luca {Marcialis}",
  title="3D Face Reconstruction for Forensic Recognition - A Survey",
  booktitle="2022 26th International Conference on Pattern Recognition (ICPR)",
  year="2022",
  pages="930--937",
  address="Manhattan, New York",
  doi="10.1109/ICPR56361.2022.9956031",
  isbn="978-1-6654-9062-7"
}