Now showing items 1-4 of 4

    • Automatic Modeling of Cluttered Multi-room Floor Plans From Panoramic Images 

      Pintore, Giovanni; Ganovelli, Fabio; Villanueva, Alberto Jaspe; Gobbetti, Enrico (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a novel and light-weight approach to capture and reconstruct structured 3D models of multi-room floor plans. Starting from a small set of registered panoramic images, we automatically generate a 3D layout of the ...
    • Evaluating Deep Learning Methods for Low Resolution Point Cloud Registration in Outdoor Scenarios 

      Siddique, Arslan; Corsini, Massimiliano; Ganovelli, Fabio; Cignoni, Paolo (The Eurographics Association, 2021)
      Point cloud registration is a fundamental task in 3D reconstruction and environment perception. We explore the performance of modern Deep Learning-based registration techniques, in particular Deep Global Registration (DGR) ...
    • Recovering 3D Indoor Floor Plans by Exploiting Low-cost Spherical Photography 

      Pintore, Giovanni; Ganovelli, Fabio; Pintus, Ruggero; Scopigno, Roberto; Gobbetti, Enrico (The Eurographics Association, 2018)
      We present a novel approach to automatically recover, from a small set of partially overlapping panoramic images, an indoor structure representation in terms of a 3D floor plan registered with a set of 3D environment maps. ...
    • State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments 

      Pintore, Giovanni; Mura, Claudio; Ganovelli, Fabio; Fuentes-Perez, Lizeth Joseline; Pajarola, Renato; Gobbetti, Enrico (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Creating high-level structured 3D models of real-world indoor scenes from captured data is a fundamental task which has important applications in many fields. Given the complexity and variability of interior environments ...