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  • SHREC 2021: Surface-based Protein Domains Retrieval 

    Langenfeld, Florent; Aderinwale, Tunde; Christoffer, Charles; Shin, Woong-Hee; Terashi, Genki; Wang, Xiao; Kihara, Daisuke; Benhabiles, Halim; Hammoudi, Karim; Cabani, Adnane; Windal, Feryal; Melkemi, Mahmoud; Otu, Ekpo; Zwiggelaar, Reyer; Hunter, David; Liu, Yonghuai; Sirugue, Léa; Nguyen, Huu-Nghia H.; Nguyen, Tuan-Duy H.; Nguyen–Truong, Vinh-Thuyen; Le, Danh; Nguyen, Hai-Dang; Tran, Minh-Triet; Montès, Matthieu (The Eurographics Association, 2021)
    Proteins are essential to nearly all cellular mechanism, and often interact through their surface with other cell molecules, such as proteins and ligands. The evolution generates plenty of different proteins, with unique ...
  • Shape Classification of Building Information Models using Neural Networks 

    Evangelou, Iordanis; Vitsas, Nick; Papaioannou, Georgios; Georgioudakis, Manolis; Chatzisymeon, Apostolos (The Eurographics Association, 2021)
    The Building Information Modelling (BIM) procedure introduces specifications and data exchange formats widely used by the construction industry to describe functional and geometric elements of building structures in the ...
  • SHREC 2021: Classification in Cryo-electron Tomograms 

    Gubins, Ilja; Chaillet, Marten L.; Schot, Gijs van der; Trueba, M. Cristina; Veltkamp, Remco C.; Förster, Friedrich; Wang, Xiao; Kihara, Daisuke; Moebel, Emmanuel; Nguyen, Nguyen P.; White, Tommi; Bunyak, Filiz; Papoulias, Giorgos; Gerolymatos, Stavros; Zacharaki, Evangelia I.; Moustakas, Konstantinos; Zeng, Xiangrui; Liu, Sinuo; Xu, Min; Wang, Yaoyu; Chen, Cheng; Cui, Xuefeng; Zhang, Fa (The Eurographics Association, 2021)
    Cryo-electron tomography (cryo-ET) is an imaging technique that allows three-dimensional visualization of macro-molecular assemblies under near-native conditions. Cryo-ET comes with a number of challenges, mainly low ...
  • Eurographics Workshop on 3D Object Retrieval: Short Papers Frontmatter 

    Biasotti, Silvia; Dyke, Roberto M.; Lai, Yukun; Rosin, Paul L.; Veltkamp, Remco C. (The Eurographics Association, 2021)
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Eurographics Workshop on 3D Object Retrieval: Short Papers Frontmatter 

    Schreck, Tobias; Theoharis, Theoharis; Pratikakis, Ioannis; Spagnuolo, Michela; Veltkamp, Remco C. (The Eurographics Association, 2020)
  • Matching Humans with Different Connectivity 

    Melzi, S.; Marin, R.; Rodolà, E.; Castellani, U.; Ren, J.; Poulenard, A.; Wonka, P.; Ovsjanikov, M. (The Eurographics Association, 2019)
    Objects Matching is a ubiquitous problem in computer science with particular relevance for many applications; property transfer between 3D models and statistical study for learning are just some remarkable examples. The ...
  • Shape Correspondence with Isometric and Non-Isometric Deformations 

    Dyke, R. M.; Stride, C.; Lai, Y.-K.; Rosin, P. L.; Aubry, M.; Boyarski, A.; Bronstein, A. M.; Bronstein, M. M.; Cremers, D.; Fisher, M.; Groueix, T.; Guo, D.; Kim, V. G.; Kimmel, R.; Lähner, Z.; Li, K.; Litany, O.; Remez, T.; Rodolà, E.; Russell, B. C.; Sahillioglu, Y.; Slossberg, R.; Tam, G. K. L.; Vestner, M.; Wu, Z.; Yang, J. (The Eurographics Association, 2019)
    The registration of surfaces with non-rigid deformation, especially non-isometric deformations, is a challenging problem. When applying such techniques to real scans, the problem is compounded by topological and geometric ...
  • Monocular Image Based 3D Model Retrieval 

    Li, Wenhui; Liu, Anan; Nie, Weizhi; Song, Dan; Li, Yuqian; Wang, Weijie; Xiang, Shu; Zhou, Heyu; Bui, Ngoc-Minh; Cen, Yunchi; Chen, Zenian; Chung-Nguyen, Huy-Hoang; Diep, Gia-Han; Do, Trong-Le; Doubrovski, Eugeni L.; Duong, Anh-Duc; Geraedts, Jo M. P.; Guo, Haobin; Hoang, Trung-Hieu; Li, Yichen; Liu, Xing; Liu, Zishun; Luu, Duc-Tuan; Ma, Yunsheng; Nguyen, Vinh-Tiep; Nie, Jie; Ren, Tongwei; Tran, Mai-Khiem; Tran-Nguyen, Son-Thanh; Tran, Minh-Triet; Vu-Le, The-Anh; Wang, Charlie C. L.; Wang, Shijie; Wu, Gangshan; Yang, Caifei; Yuan, Meng; Zhai, Hao; Zhang, Ao; Zhang, Fan; Zhao, Sicheng (The Eurographics Association, 2019)
    Monocular image based 3D object retrieval is a novel and challenging research topic in the field of 3D object retrieval. Given a RGB image captured in real world, it aims to search for relevant 3D objects from a dataset. ...
  • Feature Curve Extraction on Triangle Meshes 

    Moscoso Thompson, Elia; Arvanitis, G.; Moustakas, Konstantinos; Hoang-Xuan, N.; Nguyen, E. R.; Tran, M.; Lejemble, T.; Barthe, L.; Mellado, N.; Romanengo, C.; Biasotti, S.; FALCIDIENO, BIANCA (The Eurographics Association, 2019)
    This paper presents the results of the SHREC'19 track: Feature curve extraction on triangle meshes. Given a model, the challenge consists in automatically extracting a subset of the mesh vertices that jointly represent a ...
  • Online Gesture Recognition 

    Caputo, F. M.; Burato, S.; Pavan, G.; Voillemin, T.; Wannous, H.; Vandeborre, J. P.; Maghoumi, M.; Taranta II, E. M.; Razmjoo, A.; LaViola Jr., J. J.; Manganaro, F.; Pini, S.; Borghi, G.; Vezzani, R.; Cucchiara, R.; Nguyen, H.; Tran, M. T.; Giachetti, A. (The Eurographics Association, 2019)
    This paper presents the results of the Eurographics 2019 SHape Retrieval Contest track on online gesture recognition. The goal of this contest was to test state-of-the-art methods that can be used to online detect command ...
  • A 3D CAD Assembly Benchmark 

    Lupinetti, Katia; Giannini, Franca; monti, marina; PERNOT, Jean-Philippe (The Eurographics Association, 2019)
    Evaluating the effectiveness of the systems for the retrieval of 3D assembly models is not trivial. CAD assembly models can be considered similar according to different criteria and at different levels (i.e. globally or ...
  • Generalizing Discrete Convolutions for Unstructured Point Clouds 

    Boulch, Alexandre (The Eurographics Association, 2019)
    Point clouds are unstructured and unordered data, as opposed to images. Thus, most of machine learning approaches, developed for images, cannot be directly transferred to point clouds. It usually requires data transformation ...
  • 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 ...
  • CMH: Coordinates Manifold Harmonics for Functional Remeshing 

    Marin, Riccardo; Melzi, Simone; Musoni, Pietro; Bardon, Filippo; Tarini, Marco; Castellani, Umberto (The Eurographics Association, 2019)
    In digital world reconstruction, 2-dimensional surface of real objects are often obtained as polygonal meshes after an acquisition procedure using 3D sensors. However, such representation requires several manual efforts ...

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