The fragile art of 3D meshing

Day - Time: 20 July 2022, h.11:00
Place: Area della Ricerca CNR di Pisa - Room: Faedo C29
  • Nico Pietroni (University of Technology, Sydney, Australia)

Paolo Cignoni


Modern 3D sensor technologies allow efficient digital reproductions of many real-world objects. However, the produced 3D data is usually organized as a point cloud or a triangle mesh. While this data may accurately represent the shape of an object, it is not suitable for most applications beyond simple viewing. While reconstructed models might be very accurate, the underlying structure is significantly different from the ones designed by the artist. Automatic reverse-modeling is a challenging problem to model correctly because the connection between the geometry of a surface and its ideal, application-dependent meshing is highly complex. Therefore, the quality of a mesh cannot be directly measured by geometric quantities only. Unfortunately, the current methods are limited to optimizing the quality of each element composing the mesh. As a result, we are still far from replicating the modeler’s results. This talk will illustrate the open challenges in meshing, showing the novel approaches that combine geometry processing and user interaction to automate creating high-value volumetric and surface meshes from an unstructured 3D triangle mesh.