Damer, Naser ; Grebe, Jonas Henry ; Chen, Cong ; Boutros, Fadi ; Kirchbuchner, Florian ; Kuijper, Arjan (2020)
The Effect of Wearing a Mask on Face Recognition
Performance:
an Exploratory Study.
19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020). virtual Conference (16.-18.09.)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Face recognition has become essential in our daily lives as a convenient and contactless method of accurate identity verification. Process such as identity verification at automatic border control gates or the secure login to electronic devices are increasingly dependant on such technologies. The recent COVID-19 pandemic have increased the value of hygienic and contactless identity verification. However, the pandemic led to the wide use of face masks, essential to keep the pandemic under control. The effect of wearing a mask on face recognition in a collaborative environment is currently sensitive yet understudied issue. We address that by presenting a specifically collected database containing three session, each with three different capture instructions, to simulate realistic use cases.We further study the effect of masked face probes on the behaviour of three top-performing face recognition systems, two academic solutions and one commercial off-the-shelf (COTS) system.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Damer, Naser ; Grebe, Jonas Henry ; Chen, Cong ; Boutros, Fadi ; Kirchbuchner, Florian ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Veranstaltungstitel: | 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020) |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 16.-18.09. |
| URL / URN: | https://dl.gi.de/handle/20.500.12116/34316 |
| Kurzbeschreibung (Abstract): | Face recognition has become essential in our daily lives as a convenient and contactless method of accurate identity verification. Process such as identity verification at automatic border control gates or the secure login to electronic devices are increasingly dependant on such technologies. The recent COVID-19 pandemic have increased the value of hygienic and contactless identity verification. However, the pandemic led to the wide use of face masks, essential to keep the pandemic under control. The effect of wearing a mask on face recognition in a collaborative environment is currently sensitive yet understudied issue. We address that by presenting a specifically collected database containing three session, each with three different capture instructions, to simulate realistic use cases.We further study the effect of masked face probes on the behaviour of three top-performing face recognition systems, two academic solutions and one commercial off-the-shelf (COTS) system. |
| Freie Schlagworte: | Biometrics, Face recognition, Performance evaluation, Machine learning |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 29 Sep 2020 07:51 |
| Letzte Änderung: | 29 Sep 2020 07:51 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum