Samartzidis, Timotheos ; Siegmund, Dirk ; Gödde, Michael ; Damer, Naser ; Braun, Andreas ; Kuijper, Arjan (2018)
The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics.
The 11th IAPR International Conference on Biometrics (ICB). Gold Coast, Australia (20th - 23rd February 2018)
doi: 10.1109/ICB2018.2018.00036
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Facial recognition in the visible spectrum is a widely used application but it is also still a major field of research. In this paper we present melanin face pigmentation (MFP) as a new modality to be used to extend classical face biometrics. Melanin pigmentation are sun-damaged cells that occur as revealed and/or unrevealed pattern on human skin. Most MFP can be found in the faces of some people when using ultraviolet (UV) imaging. To proof the relevance ofthis feature for biometrics, we present a novel image dataset of 91 multiethnic subjects in both, the visible and the UVspectrum. We show a method to extract the MFP features from the UV images, using the well known SURF featuresand compare it with other techniques. In order to proof itsbenefits, we use weighted score-level fusion and evaluatethe performance in an one against all comparison. As a result we observed a significant amplification of performance where traditional face recognition in the visible spectrum is extended with MFP from UV images. We conclude with a future perspective about the use of these features for future research and discuss observed issues and limitations.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Samartzidis, Timotheos ; Siegmund, Dirk ; Gödde, Michael ; Damer, Naser ; Braun, Andreas ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics |
| Sprache: | Englisch |
| Publikationsjahr: | 2018 |
| Veranstaltungstitel: | The 11th IAPR International Conference on Biometrics (ICB) |
| Veranstaltungsort: | Gold Coast, Australia |
| Veranstaltungsdatum: | 20th - 23rd February 2018 |
| DOI: | 10.1109/ICB2018.2018.00036 |
| Kurzbeschreibung (Abstract): | Facial recognition in the visible spectrum is a widely used application but it is also still a major field of research. In this paper we present melanin face pigmentation (MFP) as a new modality to be used to extend classical face biometrics. Melanin pigmentation are sun-damaged cells that occur as revealed and/or unrevealed pattern on human skin. Most MFP can be found in the faces of some people when using ultraviolet (UV) imaging. To proof the relevance ofthis feature for biometrics, we present a novel image dataset of 91 multiethnic subjects in both, the visible and the UVspectrum. We show a method to extract the MFP features from the UV images, using the well known SURF featuresand compare it with other techniques. In order to proof itsbenefits, we use weighted score-level fusion and evaluatethe performance in an one against all comparison. As a result we observed a significant amplification of performance where traditional face recognition in the visible spectrum is extended with MFP from UV images. We conclude with a future perspective about the use of these features for future research and discuss observed issues and limitations. |
| Freie Schlagworte: | Biometrics, Face recognition, Image sensors |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 29 Aug 2019 06:22 |
| Letzte Änderung: | 29 Aug 2019 06:22 |
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