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    SHREC 2020 Track: Non-rigid Shape Correspondence of Physically-Based Deformations (Unknown language)

    In: Eurographics Workshop on 3D Object Retrieval ; 19-26  ; 2020

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    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 means for degrees of evaluation. In this paper, we propose a novel dataset of real scans that contain challenging non-isometric deformations to evaluate non-rigid point-to-point correspondence and registration algorithms. The deformations included in our dataset cover extreme types of physically-based contortions of a toy rabbit. Furthermore, shape pairs contain incrementally different types and amounts of deformation, this enables performance to be systematically evaluated with respect to the nature of the deformation. A brief investigation into different methods for initialising correspondence was undertaken, and a series of experiments were subsequently conducted to investigate the performance of state-of-the-art methods on the proposed dataset. We find that methods that rely on initial correspondences and local descriptors that are sensitive to local surface changes perform poorly in comparison to other strategies, and that a template-based approach performs the best.

    Table of contents conference proceedings

    The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

    11
    Fast Feature Curve Extraction for Similarity Estimation of 3D Meshes
    Romanelis, Ioannis / Arvanitis, Gerasimos / Moustakas, Konstantinos et al. | 2020
    19
    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 et al. | 2020
    27
    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 et al. | 2020
    37
    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 et al. | 2020
    45
    SHREC 2020 Track: 6D Object Pose Estimation
    Yuan, Honglin / Veltkamp, Remco C. / Albanis, Georgios / Zioulis, Nikolaos / Zarpalas, Dimitrios / Daras, Petros et al. | 2020

    How to get this title?

    Check access
    Download
    Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
    Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

    Export, share and cite

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