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Hybrid Eye Tracking: Combining Iris Contour and Corneal Imaging

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dc.contributor.author Plopski, Alexander en
dc.contributor.author Nitschke, Christian en
dc.contributor.author Kiyokawa, Kiyoshi en
dc.contributor.author Schmalstieg, Dieter en
dc.contributor.author Takemura, Haruo en
dc.date.accessioned 2019-02-01T04:34:32Z en
dc.date.available 2019-02-01T04:34:32Z en
dc.date.issued 2015 en
dc.identifier.isbn 9783905674842 en
dc.identifier.uri http://hdl.handle.net/10061/13109 en
dc.description ICAT - EGVE '15 : the 25th International Conference on Artificial Reality and Telexistence and 20th Eurographics Symposium on Virtual Environments, October 28-30, 2015, Kyoto, Japan en
dc.description.abstract Passive eye-pose estimation methods that recover the eye-pose from natural images generally suffer from low accuracy, the result of a static eye model, and the recovery of the eye model from the estimated iris contour. Active eye-pose estimation methods use precisely calibrated light sources to estimate a user specific eye-model. These methods recover an accurate eye-pose at the cost of complex setups and additional hardware. A common application of eye-pose estimation is the recovery of the point-of-gaze (PoG) given a 3D model of the scene. We propose a novel method that exploits this 3D model to recover the eye-pose and the corresponding PoG from natural images. Our hybrid approach combines active and passive eye-pose estimation methods to recover an accurate eye-pose from natural images. We track the corneal reflection of the scene to estimate an accurate position of the eye and then determine its orientation. The positional constraint allows us to estimate user specific eye-model parameters and improve the orientation estimation. We compare our method with standard iris-contour tracking and show that our method is more robust and accurate than eye-pose estimation from the detected iris with a static iris size. Accurate passive eye-pose and PoG estimation allows users to naturally interact with the scene, e.g., augmented reality content, without the use of infra-red light sources. en
dc.language.iso en en
dc.publisher Eurographics Association en
dc.rights @2015, Eurographics Association en
dc.subject 3D interaction en
dc.subject corneal imaging en
dc.subject eye-pose estimation en
dc.subject gaze interaction en
dc.title Hybrid Eye Tracking: Combining Iris Contour and Corneal Imaging en
dc.type.nii Conference Paper en
dc.contributor.transcription キヨカワ, キヨシ ja
dc.contributor.alternative プロプスキ, アレクサンダー ja
dc.contributor.alternative 清川, 清 ja
dc.textversion publisher en
dc.identifier.jtitle Proceedings of the 25th International Conference on Artificial Reality and Telexistence and 20th Eurographics Symposium on Virtual Environments en
dc.identifier.spage 183 en
dc.identifier.epage 190 en
dc.relation.doi 10.2312/egve.20151327 en
dc.identifier.NAIST-ID 74652520 en
dc.identifier.NAIST-ID 74653650 en


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