Now showing items 1-4 of 4

    • Generalizing Discrete Convolutions for Unstructured Point Clouds 

      Boulch, Alexandre (The Eurographics Association, 2019)
      Point clouds are unstructured and unordered data, as opposed to images. Thus, most of machine learning approaches, developed for images, cannot be directly transferred to point clouds. It usually requires data transformation ...
    • 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 ...
    • A Voxel-based Deep Learning Approach for Point Cloud Semantic Segmentation 

      Díaz-Medina, Miguel; Fuertes-García, José Manuel; Ogayar-Anguita, Carlos Javier; Lucena, Manuel (The Eurographics Association, 2019)
      Semantic segmentation has been a research topic in computer vision for decades. This task has become a crucial challenge nowadays due to emergence of new technologies such as autonomous driving. Nonetheless, most existing ...
    • Wall Painting Reconstruction Using a Genetic Algorithm 

      Sizikova, Elena; Funkhouser, Thomas (The Eurographics Association, 2016)
      Global reconstruction of two-dimensional wall paintings (frescoes) from fragments is an important problem for many archaeological sites. The goal is to find the global position and rotation for each fragment so that all ...