Now showing items 1-3 of 3

    • Deep-learning Alignment for Handheld 3D Acquisitions: A new Densematch Dataset for an Extended Comparison 

      Lombardi, Marco; Savardi, Mattia; Signoroni, Alberto (The Eurographics Association, 2020)
      Promising solutions for the alignment of 3D views based on representation learning approaches have been proposed very recently. The potentials of these solutions that could positively affect the 3D object registration has ...
    • Digital Terrain Model From UAV Photogrammetric Data 

      Morel, Jules; Bac, Alexandra; Kanai, Takashi (The Eurographics Association, 2020)
      This paper presents a method designed to finely approximate ground surfaces from UAV photogrammetric point clouds by relying on statistical filters to separate vegetation from potential ground points, dividing the whole ...
    • Kernel-Based Sampling of Arbitrary Data 

      Cammarasana, Simone; Patanè, Giuseppe (The Eurographics Association, 2020)
      Point sampling is widely used in several Computer Graphics' applications, such as point-based modelling and rendering, image and geometric processing. Starting from the kernel-based sampling of signals defined on a regular ...