Browsing 3DOR 18 by Title

Now showing items 14-16 of 16

    • 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 ...