Now showing items 1-7 of 7

    • Aging Prediction of Cultural Heritage Samples Based on Surface Microgeometry 

      Ciortan, Irina Mihaela; Marchioro, Giacomo; Daffara, Claudia; Pintus, Ruggero; Gobbetti, Enrico; Giachetti, Andrea (The Eurographics Association, 2018)
      A critical and challenging aspect for the study of Cultural Heritage (CH) assets is related to the characterization of the materials that compose them and to the variation of these materials with time. In this paper, we ...
    • The ArchAIDE Project: Results and Perspectives After the First Year 

      Banterle, Francesco; Dellepiane, Matteo; Evans, Tim; Gattiglia, Gabriele; Itkin, Barak; Zallocco, Massimo (The Eurographics Association, 2017)
      The ArchAIDE project is a Horizon 2020 project that has the main goal to digitally support the day-to-day operations on the field of archaeologists. This allows them to reduce time and costs of delivering an accurate and ...
    • Feature-based Characterisation of Patient-specific 3D Anatomical Models 

      Banerjee, Imon; Paccini, Martina; Ferrari, Enrico; CATALANO, CHIARA EVA; Biasotti, Silvia; Spagnuolo, Michela (The Eurographics Association, 2019)
      This paper aims to examine the potential of 3D shape analysis integrated to machine learning techniques in supporting medical investigation. In particular, we introduce an approach specially designed for the characterisation ...
    • Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces 

      Sung, Minhyuk; Dubrovina, Anastasia; Kim, Vladimir G.; Guibas, Leonidas J. (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Modeling relations between components of 3D objects is essential for many geometry editing tasks. Existing techniques commonly rely on labeled components, which requires substantial annotation effort and limits components ...
    • Learning Physically Based Humanoid Climbing Movements 

      Naderi, Kourosh; Babadi, Amin; Hämäläinen, Perttu (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      We propose a novel learning-based solution for motion planning of physically-based humanoid climbing that allows for fast and robust planning of complex climbing strategies and movements, including extreme movements such ...
    • Robust Material Graphs for Volume Rendering 

      Sharma, Ojaswa; Arora, Tushar; Khattar, Apoorv (The Eurographics Association, 2018)
      A good transfer function in volume rendering requires careful consideration of the materials present in a volume. In this work we propose a graph based method that considerably reduces manual effort required in designing ...
    • Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves 

      Silva, Carla; d'Orey, Pedro; Aguiar, Ana (The Eurographics Association, 2019)
      Traffic congestion causes major economic, environmental and social problems in modern cities. We present an interactive visualization tool to assist domain experts on the identification and analysis of traffic patterns at ...