Now showing items 8-16 of 16

    • Geodesic-based 3D Shape Retrieval Using Sparse Autoencoders 

      Luciano, Lorenzo; Hamza, Abdessamad Ben (The Eurographics Association, 2018)
      In light of the increased processing power of graphics cards and the availability of large-scale datasets, deep neural networks have shown a remarkable performance in various visual computing applications. In this paper, ...
    • Microshapes: Efficient Querying of 3D Object Collections based on Local Shape 

      Blokland, Bart Iver van; Theoharis, Theoharis (The Eurographics Association, 2018)
      Content-based querying of 3D object collections has the intrinsic difficulty of creating the query object and previous approaches have concentrated in producing global simplifications such as sketches. In contrast, in this ...
    • Non-rigid 3D Model Classification Using 3D Hahn Moment Convolutional Neural Networks 

      Mesbah, Abderrahim; Berrahou, Aissam; Hammouchi, Hicham; Berbia, Hassan; Qjidaa, Hassan; Daoudi, Mohamed (The Eurographics Association, 2018)
      In this paper, we propose a new architecture of 3D deep neural network called 3D Hahn Moments Convolutional Neural Network (3D HMCNN) to enhance the classification accuracy and reduce the computational complexity of a 3D ...
    • Performing Image-like Convolution on Triangular Meshes 

      Tortorici, Claudio; Werghi, Naoufel; Berretti, Stefano (The Eurographics Association, 2018)
      Image convolution with a filtering mask is at the base of several image analysis operations. This is motivated by Mathematical foundations and by the straightforward way the discrete convolution can be computed on a grid-like ...
    • Person Re-Identification from Depth Cameras using Skeleton and 3D Face Data 

      Pala, Pietro; Seidenari, Lorenzo; Berretti, Stefano; Bimbo, Alberto Del (The Eurographics Association, 2018)
      In the typical approach, person re-identification is performed using appearance in 2D still images or videos, thus invalidating any application in which a person may change dress across subsequent acquisitions. For example, ...
    • Protein Shape Retrieval 

      Langenfeld, Florent; Axenopoulos, Apostolos; Chatzitofis, Anargyros; Craciun, Daniela; Daras, Petros; Du, Bowen; Giachetti, Andrea; Lai, Yu-kun; Li, Haisheng; Li, Yingbin; Masoumi, Majid; Peng, Yuxu; Rosin, Paul L.; Sirugue, Jeremy; Sun, Li; Thermos, Spyridon; Toews, Matthew; Wei, Yang; Wu, Yujuan; Zhai, Yujia; Zhao, Tianyu; Zheng, Yanping; Montes, Matthieu (The Eurographics Association, 2018)
      Proteins are macromolecules central to biological processes that display a dynamic and complex surface. They display multiple conformations differing by local (residue side-chain) or global (loop or domain) structural ...
    • Recognition of Geometric Patterns Over 3D Models 

      Biasotti, S.; Moscoso Thompson, E.; Barthe, L.; Berretti, S.; Giachetti, A.; Lejemble, T.; Mellado, N.; Moustakas, K.; Manolas, Iason; Dimou, Dimitrios; Tortorici, C.; Velasco-Forero, S.; Werghi, N.; Polig, M.; Sorrentino, G.; Hermon, S. (The Eurographics Association, 2018)
      This track of the SHREC 2018 originally aimed at recognizing relief patterns over a set of triangle meshes from laser scan acquisitions of archaeological fragments. This track approaches a lively and very challenging problem ...
    • Retrieval of Gray Patterns Depicted on 3D Models 

      Moscoso Thompson, E.; Tortorici, C.; Werghi, N.; Berretti, S.; Velasco-Forero, S.; Biasotti, S. (The Eurographics Association, 2018)
      This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of ...
    • RGB-D Object-to-CAD Retrieval 

      Pham, Quang-Hieu; Tran, Minh-Khoi; Li, Wenhui; Xiang, Shu; Zhou, Heyu; Nie, Weizhi; Liu, Anan; Su, Yuting; Tran, Minh-Triet; Bui, Ngoc-Minh; Do, Trong-Le; Ninh, Tu V.; Le, Tu-Khiem; Dao, Anh-Vu; Nguyen, Vinh-Tiep; Do, Minh N.; Duong, Anh-Duc; Hua, Binh-Son; Yu, Lap-Fai; Nguyen, Duc Thanh; Yeung, Sai-Kit (The Eurographics Association, 2018)
      Recent advances in consumer-grade depth sensors have enable the collection of massive real-world 3D objects. Together with the rise of deep learning, it brings great potential for large-scale 3D object retrieval. In this ...