Boutros, Fadi ; Damer, Naser ; Raja, Kiran ; Ramachandra, Raghavendra ; Kirchbuchner, Florian ; Kuijper, Arjan (2020)
Periocular Biometrics in Head-Mounted Displays: A Sample Selection Approach for Better Recognition.
Porto, Portugal (29.04.2020-30.04.2020)
doi: 10.1109/IWBF49977.2020.9107939
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Virtual and augmented reality technologies are increasingly used in a wide range of applications. Such technologies employ a Head Mounted Display (HMD) that typicallyincludes an eye-facing camera and is used for eye tracking.As some of these applications require accessing or transmittinghighly sensitive private information, a trusted verification ofthe operator’s identity is needed. We investigate the use ofHMD-setup to perform verification of operator using periocularregion captured from inbuilt camera. However, the uncontrollednature of the periocular capture within the HMD results inimages with a high variation in relative eye location and eyeopening due to varied interactions. Therefore, we propose a newnormalization scheme to align the ocular images and then, a newreference sample selection protocol to achieve higher verificationaccuracy. The applicability of our proposed scheme is exemplifiedusing two handcrafted feature extraction methods and two deeplearning strategies.We conclude by stating the feasibility of sucha verification approach despite the uncontrolled nature of thecaptured ocular images, especially when proper alignment andsample selection strategy is employed.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Boutros, Fadi ; Damer, Naser ; Raja, Kiran ; Ramachandra, Raghavendra ; Kirchbuchner, Florian ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Periocular Biometrics in Head-Mounted Displays: A Sample Selection Approach for Better Recognition |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Ort: | Los Alamitos, Calif. |
| Buchtitel: | 2020 8th International Workshop on Biometrics and Forensics (IWBF) |
| Veranstaltungsort: | Porto, Portugal |
| Veranstaltungsdatum: | 29.04.2020-30.04.2020 |
| DOI: | 10.1109/IWBF49977.2020.9107939 |
| URL / URN: | https://doi.org/10.1109/IWBF49977.2020.9107939 |
| Kurzbeschreibung (Abstract): | Virtual and augmented reality technologies are increasingly used in a wide range of applications. Such technologies employ a Head Mounted Display (HMD) that typicallyincludes an eye-facing camera and is used for eye tracking.As some of these applications require accessing or transmittinghighly sensitive private information, a trusted verification ofthe operator’s identity is needed. We investigate the use ofHMD-setup to perform verification of operator using periocularregion captured from inbuilt camera. However, the uncontrollednature of the periocular capture within the HMD results inimages with a high variation in relative eye location and eyeopening due to varied interactions. Therefore, we propose a newnormalization scheme to align the ocular images and then, a newreference sample selection protocol to achieve higher verificationaccuracy. The applicability of our proposed scheme is exemplifiedusing two handcrafted feature extraction methods and two deeplearning strategies.We conclude by stating the feasibility of sucha verification approach despite the uncontrolled nature of thecaptured ocular images, especially when proper alignment andsample selection strategy is employed. |
| Freie Schlagworte: | Biometrics, Head mounted displays |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 08 Jun 2020 10:16 |
| Letzte Änderung: | 08 Jun 2020 10:16 |
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