Browsing 3DOR 2020 - Short Papers by Issue Date

Now showing items 1-7 of 7

    • SHREC 2020 Track: 6D Object Pose Estimation 

      Yuan, Honglin; Veltkamp, Remco C.; Albanis, Georgios; Zioulis, Nikolaos; Zarpalas, Dimitrios; Daras, Petros (The Eurographics Association, 2020)
      6D pose estimation is crucial for augmented reality, virtual reality, robotic manipulation and visual navigation. However, the problem is challenging due to the variety of objects in the real world. They have varying 3D ...

    • Eurographics Workshop on 3D Object Retrieval: Short Papers Frontmatter 

      Schreck, Tobias; Theoharis, Theoharis; Pratikakis, Ioannis; Spagnuolo, Michela; Veltkamp, Remco C. (The Eurographics Association, 2020)

    • 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 ...

    • Shape Correspondence by Aligning Scale-invariant LBO Eigenfunctions 

      Bracha, Amit; Halim, Oshri; Kimmel, Ron (The Eurographics Association, 2020)
      When matching non-rigid shapes, the regular or scale-invariant Laplace-Beltrami Operator (LBO) eigenfunctions could potentially serve as intrinsic descriptors which are invariant to isometric transformations. However, the ...

    • SHREC 2020 Track: Non-rigid Shape Correspondence of Physically-Based Deformations 

      Dyke, Roberto M.; Zhou, Feng; Lai, Yu-Kun; Rosin, Paul L.; Guo, Daoliang; Li, Kun; Marin, Riccardo; Yang, Jingyu (The Eurographics Association, 2020)
      Commonly, novel non-rigid shape correspondence techniques focus on particular matching challenges. This can lead to the potential trade-off of poorer performance in other scenarios. An ideal dataset would provide a granular ...

    • SHREC 2020 Track: Extended Monocular Image Based 3D Model Retrieval 

      Li, Wenhui; Song, Dan; Liu, Anan; Nie, Weizhi; Zhang, Ting; Zhao, Xiaoqian; Ma, Mingsheng; Li, Yuqian; Zhou, Heyu; Zhang, Beibei; Le, Shengjie; Wang, Dandan; Ren, Tongwei; Wu, Gangshan; Vu-Le, The-Anh; Hoang, Xuan-Nhat; Nguyen, E-Ro; Nguyen-Ho, Thang-Long; Nguyen, Hai-Dang; Do, Trong-Le; Tran, Minh-Triet (The Eurographics Association, 2020)
      Monocular image based 3D object retrieval has attracted more and more attentions in the field of 3D object retrieval. However, the research of 3D object retrieval based on 2D image is still challenging, mainly because of ...

    • Fast Feature Curve Extraction for Similarity Estimation of 3D Meshes 

      Romanelis, Ioannis; Arvanitis, Gerasimos; Moustakas, Konstantinos (The Eurographics Association, 2020)
      Feature extraction from 3D triangle meshes is a very popular and important task that could contribute to many scientific fields such as computer vision, pattern recognition, medical 3D modeling, etc. However, the main ...