Browsing by Author "Schwanecke, Ulrich"

Now showing items 1-4 of 4

    • A Multilinear Model for Bidirectional Craniofacial Reconstruction 

      Achenbach, Jascha; Brylka, Robert; Gietzen, Thomas; Hebel, Katja zum; Schömer, Elmar; Schulze, Ralf; Botsch, Mario; Schwanecke, Ulrich (The Eurographics Association, 2018)
      We 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 ...

    • Neural Deformable Cone Beam CT 

      Birklein, Lukas; Schömer, Elmar; Brylka, Robert; Schwanecke, Ulrich; Schulze, Ralf (The Eurographics Association, 2023)
      In oral and maxillofacial cone beam computed tomography (CBCT), patient motion is frequently observed and, if not accounted for, can severely affect the usability of the acquired images. We propose a highly flexible, data ...

    • Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach 

      Macho, Philipp Marten; Kurz, Nadja; Ulges, Adrian; Brylka, Robert; Gietzen, Thomas; Schwanecke, Ulrich (The Eurographics Association, 2018)
      This paper addresses the automatic segmentation of teeth in volumetric Computed Tomography (CT) scans of the human skull. Our approach is based on a convolutional neural network employing 3D volumetric convolutions. To ...

    • TailorMe: Self-Supervised Learning of an Anatomically Constrained Volumetric Human Shape Model 

      Wenninger, Stephan; Kemper, Fabian; Schwanecke, Ulrich; Botsch, Mario (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Human shape spaces have been extensively studied, as they are a core element of human shape and pose inference tasks. Classic methods for creating a human shape model register a surface template mesh to a database of 3D ...