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dc.contributor.authorKerbiriou, Glennen_US
dc.contributor.authorMarchal, Mauden_US
dc.contributor.authorAvril, Quentinen_US
dc.contributor.editorDominik L. Michelsen_US
dc.contributor.editorSoeren Pirken_US
dc.date.accessioned2022-08-10T15:19:58Z
dc.date.available2022-08-10T15:19:58Z
dc.date.issued2022
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14642
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14642
dc.description.abstractEven if the appearance and geometry of the human eye have been extensively studied during the last decade, the geometrical correlation between gaze direction, eyelids aperture and eyelids shape has not been empirically modeled. In this paper, we propose a data-driven approach for capturing and modeling the subtle features of the human eye region, such as the inner eye corner and the skin bulging effect due to globe orientation. Our approach consists of an original experimental setup to capture the eye region geometry variations combined with a 3D reconstruction method. Regarding the eye region capture, we scanned 55 participants doing 36 eyes poses. To animate a participant's eye region, we register the different poses to a vertex wise correspondence before blending them in a trilinear fashion. We show that our 3D animation results are visually pleasant and realistic while bringing novel eye features compared to state of the art models.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleDetailed Eye Region Capture and Animationen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersCapture, Tracking, and Facial Animation
dc.description.volume41
dc.description.number8
dc.identifier.doi10.1111/cgf.14642
dc.identifier.pages279-282
dc.identifier.pages4 pages


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  • 41-Issue 8
    ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2022

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