Now showing items 1-4 of 4

    • CAD 3D Model Classification by Graph Neural Networks: A new Approach based on STEP Format 

      Mandelli, Lorenzo; Berretti, Stefano (The Eurographics Association, 2022)
      In this paper, we introduce a new approach for retrieval and classification of 3D models that directly performs in the Computer- Aided Design (CAD) format without any conversion to other representations like point clouds ...
    • Depth-Based Face Recognition by Learning from 3D-LBP Images 

      Neto, Joao Baptista Cardia; Marana, Aparecido Nilceu; Ferrari, Claudio; Berretti, Stefano; Bimbo, Alberto Del (The Eurographics Association, 2019)
      In this paper, we propose a hybrid framework for face recognition from depth images, which is both effective and efficient. It consists of two main stages: First, the 3DLBP operator is applied to the raw depth data of the ...
    • SHREC 2020 Track: River Gravel Characterization 

      Giachetti, Andrea; Biasotti, Silvia; Moscoso Thompson, Elia; Fraccarollo, Luigi; Nguyen, Quang; Nguyen, Hai-Dang; Tran, Minh-Triet; Arvanitis, Gerasimos; Romanelis, Ioannis; Fotis, Vlasis; Moustakas, Konstantinos; Tortorici, Claudio; Werghi, Naoufel; Berretti, Stefano (The Eurographics Association, 2020)
      The quantitative analysis of the distribution of the different types of sands, gravels and cobbles shaping river beds is a very important task performed by hydrologists to derive useful information on fluvial dynamics and ...
    • A Sparse Mesh Sampling Scheme for Graph-based Relief Pattern Classification 

      Paolini, Gabriele; Guiducci, Niccolò; Tortorici, Claudio; Berretti, Stefano (The Eurographics Association, 2023)
      In the context of geometric deep learning, the classification of relief patterns involves recognizing the surface characteristics of a 3D object, regardless of its global shape. State-of-the-art methods leverage powerful ...