Automatic Transfer of Landmarks on Human Skulls using GPU-based Non-rigid Registration

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dc.contributor.authorInnmann, Matthiasen_US
dc.contributor.authorErhardt, Philippen_US
dc.contributor.authorSchütz, Danielen_US
dc.contributor.authorGreiner, Güntheren_US
dc.contributor.editorTobias Schreck and Tim Weyrich and Robert Sablatnig and Benjamin Stularen_US
dc.date.accessioned2017-09-27T06:39:36Z
dc.date.available2017-09-27T06:39:36Z
dc.date.issued2017
dc.description.abstractIn this work, we present a novel approach to automatically transfer landmarks from a template mesh of a human skull to other meshes obtained via 3D scanning. Since previous methods rely on user input or only work on a subset of the data, these algorithms are not suited for large databases. Our system is designed to work for arbitrary meshes of human skulls, i.e. having artifacts like incomplete geometry or being non-watertight. Since the input data has no common orientation, we first apply a rigid coarse registration followed by a refinement. Afterwards, the remaining geometric deviation is removed by non-rigidly deforming one mesh into the other. With this precise geometric mapping, arbitrary landmarks can be transferred easily. To ensure efficient computation, we use a highly optimized GPU implementation to solve arising optimization problems. We apply our method to a dataset consisting of 1200 models acquired via structured light scanning and evaluate its accuracy on a subset of these models.en_US
dc.description.sectionheadersRetrieval, Classification, and Matching
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20171304
dc.identifier.isbn978-3-03868-037-6
dc.identifier.issn2312-6124
dc.identifier.pages131-135
dc.identifier.urihttps://doi.org/10.2312/gch.20171304
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20171304
dc.publisherThe Eurographics Associationen_US
dc.titleAutomatic Transfer of Landmarks on Human Skulls using GPU-based Non-rigid Registrationen_US
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