A Multilinear Model for Bidirectional Craniofacial Reconstruction

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dc.contributor.authorAchenbach, Jaschaen_US
dc.contributor.authorBrylka, Roberten_US
dc.contributor.authorGietzen, Thomasen_US
dc.contributor.authorHebel, Katja zumen_US
dc.contributor.authorSchömer, Elmaren_US
dc.contributor.authorSchulze, Ralfen_US
dc.contributor.authorBotsch, Marioen_US
dc.contributor.authorSchwanecke, Ulrichen_US
dc.contributor.editorPuig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pauen_US
dc.date.accessioned2018-09-19T15:19:24Z
dc.date.available2018-09-19T15:19:24Z
dc.date.issued2018
dc.description.abstractWe present a bidirectional facial reconstruction method for estimating the skull given a scan of the skin surface and vice versa estimating the skin surface given the skull. Our approach is based on a multilinear model that describes the correlation between the skull and the facial soft tissue thickness (FSTT) on the one hand and the head/face surface geometry on the other hand. Training this model requires to densely sample the Cartesian product space of skull shape times FSTT variation, which cannot be obtained by measurements alone. We generate this data by enriching measured data-volumetric computed tomography scans and 3D surface scans of the head-by simulating statistically plausible FSTT variations. We demonstrate the versatility of our novel multilinear model by estimating faces from given skulls as well as skulls from given faces within just a couple of seconds. To foster further research in this direction, we will make our multilinear model publicly available.en_US
dc.description.sectionheadersHead and Brain
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20181230
dc.identifier.isbn978-3-03868-056-7
dc.identifier.issn2070-5786
dc.identifier.pages67-76
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20181230
dc.identifier.urihttps://doi.org/10.2312/vcbm.20181230
dc.publisherThe Eurographics Associationen_US
dc.titleA Multilinear Model for Bidirectional Craniofacial Reconstructionen_US
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VCBM 18: Eurographics Workshop on Visual Computing for Biology and Medicine