Browsing 37-Issue 2 by Subject "based models"

Now showing items 1-2 of 2

    • PCPNet: Learning Local Shape Properties from Raw Point Clouds 

      Guerrero, Paul; Kleiman, Yanir; Ovsjanikov, Maks; Mitra, Niloy J. (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      In this paper, we propose PCPNET, a deep-learning based approach for estimating local 3D shape properties in point clouds. In contrast to the majority of prior techniques that concentrate on global or mid-level attributes, ...

    • PointProNets: Consolidation of Point Clouds with Convolutional Neural Networks 

      Roveri, Riccardo; Öztireli, A. Cengiz; Pandele, Ioana; Gross, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      With the widespread use of 3D acquisition devices, there is an increasing need of consolidating captured noisy and sparse point cloud data for accurate representation of the underlying structures. There are numerous ...