TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types

dc.contributor.author	Fuhl, Wolfgang
dc.contributor.author	Kasneci, Gjergji
dc.contributor.author	Kasneci, Enkelejda
dc.date.accessioned	2021-12-10T15:50:30Z
dc.date.available	2021-12-10T15:50:30Z
dc.date.issued	2021
dc.identifier.isbn	978-1-6654-0158-6
dc.identifier.isbn	978-1-7281-9777-7
dc.identifier.uri	http://hdl.handle.net/10900/121688
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	https://dx.doi.org/10.1109/ISMAR52148.2021.00053	de_DE
dc.subject.ddc	004	de_DE
dc.title	TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.publikation.seiten	367-375	de_DE
utue.personen.roh	Fuhl, Wolfgang
utue.personen.roh	Kasneci, Gjergji
utue.personen.roh	Kasneci, Enkelejda
dcterms.isPartOf.ZSTitelID	2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)	de_DE