<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/585599D1-E49C-4A2F-B783-03A806CED16D"><efrbr-work:titleOfTheWork>Front camera eye tracking for mobile VR</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/585599D1-E49C-4A2F-B783-03A806CED16D"><efrbr-expression:titleOfTheExpression>Front camera eye tracking for mobile VR</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Σύντομη Δημοσίευση σε Συνέδριο
            Conference Short Paper
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2022-05-06</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2020</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>User fixations is a fast and natural input method for VR interaction. Previous attempts for mobile eye tracking in VR were limited due to low accuracy, long processing time and the need for hardware add-ons such as anti-reflective lens coating and IR emitters. We present an innovative mobile VR eye tracking methodology, utilizing only the captured images of the front-facing (selfie) camera through the headset's lens, without any modifications. The system enhances the low-quality camera-captured images that suffer from low contrast and poor lighting by applying a pipeline of customized low level image enhancements to suppress obtrusive reflections due to the headset lenses. We proceed to calibration and linear gaze mapping between the estimated iris centroids and physical pixels on the screen resulting to iris tracking in real-time. A preliminary study confirms that the presented eye tracking methodology performs comparably to eye trackers in commercial VR headsets when the eyes move in the central part of the headset's field of view.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">642-643</efrbr-expression:note><efrbr-expression:note type="conference name">2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops</efrbr-expression:note><efrbr-expression:note type="proceedings title">Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~pdrakopoulos"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Drakopoulos Panagiotis
            Δρακοπουλος Παναγιωτης
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~gkoulieris"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Koulieris Georgios-Alexandros
            Κουλιερης Γεωργιος-Αλεξανδρος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~amania"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Mania Aikaterini
            Μανια Αικατερινη
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="https://v2.sherpa.ac.uk/id/publisher/38"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Institute of Electrical and Electronics Engineers
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="E0A77F59-DC48-4E9B-B096-EFFFACAE4526"><efrbr-concept:termForTheConcept>
            Eye-tracking
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="317412FF-89E7-4059-B1DF-2D64834DFEB8"><efrbr-concept:termForTheConcept>
            Mobile VR
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="31364CAF-B1B5-4068-8B89-1BB970E24282"><efrbr-concept:termForTheConcept>
            Gaze-contingent displays
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