Publication Details

3D Face Reconstruction for Forensic Recognition - A Survey

LA CAVA, S.; ORR, G.; GOLDMANN, T.; DRAHANSKÝ, M.; MARCIALIS, G. 3D Face Reconstruction for Forensic Recognition - A Survey. In 2022 26th International Conference on Pattern Recognition (ICPR). Manhattan, New York: 2022. p. 930-937. ISBN: 978-1-6654-9062-7.
Czech title
Rekonstrukce 3D profilu obličeje pro forenzní zkoumání
Type
conference paper
Language
English
Authors
La Cava Simone Maurizio
Orrù Giulia
Goldmann Tomáš, Ing., Ph.D. (DITS)
Drahanský Martin, prof. Ing., Ph.D.
Marcialis Gian Luca
Keywords

face, face recognition, 3D face reconstruction

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

Published
2022
Pages
930–937
Proceedings
2022 26th International Conference on Pattern Recognition (ICPR)
ISBN
978-1-6654-9062-7
Place
Manhattan, New York
DOI
UT WoS
000897707600129
EID Scopus
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"
}
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