3D Face Reconstruction for Forensic Recognition - A Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU147009" target="_blank" >RIV/00216305:26230/22:PU147009 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICPR56361.2022.9956031" target="_blank" >http://dx.doi.org/10.1109/ICPR56361.2022.9956031</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICPR56361.2022.9956031" target="_blank" >10.1109/ICPR56361.2022.9956031</a>
Alternative languages
Result language
angličtina
Original language name
3D Face Reconstruction for Forensic Recognition - A Survey
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 26th International Conference on Pattern Recognition (ICPR)
ISBN
978-1-6654-9062-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
930-937
Publisher name
NEUVEDEN
Place of publication
Manhattan, New York
Event location
Montréal
Event date
Aug 21, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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