Even though the human eye is one of the central features of individual appearance, its shape has so far been mostly approximated in our community with gross simplifications. In this presentation we demonstrate that there is a lot of individuality to every eye, a fact that common practices for 3D eye generation do not consider. To faithfully reproduce all the intricacies of the human eye we propose a novel capture system that is capable of accurately reconstructing all the visible parts of the eye: the white sclera, the transparent cornea and the non-rigidly deforming colored iris. These components exhibit very different appearance properties and thus we propose a hybrid reconstruction method that addresses them individually, resulting in a complete model of both spatio-temporal shape and texture at an unprecedented level of detail, enabling the creation of more believable digital humans. Finally, we believe that the findings will alter our community's current assumptions regarding human eyes, and our work has the potential to significantly impact the way that eyes will be modelled in the future.
Pascal Bérard was born in Switzerland in 1987. He received his B.Sc. and M.Sc. degrees in microengineering from EPFL, Lausanne, Switzerland, in 2009 and 2011, respectively. For his master's thesis he joined the Laboratory of Computational Cell Biology (LCCB) at Harvard Medical School, Boston, USA, where he stayed for a year before beginning his Ph.D. in 2012 at the Computer Graphics Laboratory (CGL) at ETH Zürich and at Disney Research Zurich. His main research interests are reconstruction and modelling algorithms with a focus on applications in the visual effects industry.
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