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    SHREC 2020 Track: River Gravel Characterization

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    Date
    2020
    Author
    Giachetti, Andrea
    Biasotti, Silvia ORCID
    Moscoso Thompson, Elia ORCID
    Fraccarollo, Luigi
    Nguyen, Quang
    Nguyen, Hai-Dang
    Tran, Minh-Triet ORCID
    Arvanitis, Gerasimos ORCID
    Romanelis, Ioannis ORCID
    Fotis, Vlasis
    Moustakas, Konstantinos ORCID
    Tortorici, Claudio ORCID
    Werghi, Naoufel
    Berretti, Stefano ORCID
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    Abstract
    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 related processes (e.g., hydraulic resistance, sediment transport and erosion, habitat suitability. As the methods currently employed in the practice to perform this evaluation are expensive and time-consuming, the development of fast and accurate methods able to provide a reasonable estimate of the gravel distribution based on images or 3D scanning data would be extremely useful to support hydrologists in their work. To evaluate the suitability of state-of-the-art geometry processing tool to estimate the distribution from digital surface data, we created, therefore, a dataset including real captures of riverbed mockups, designed a retrieval task on it and proposed them as a challenge of the 3D Shape Retrieval Contest (SHREC) 2020. In this paper, we discuss the results obtained by the methods proposed by the groups participating in the contest and baseline methods provided by the organizers. Retrieval methods have been compared using the precision-recall curves, nearest neighbor, first tier, second tier, normalized discounted cumulated gain and average dynamic recall. Results show the feasibility of gravels characterization from captured surfaces and issues in the discrimination of mixture of gravels of different size.
    BibTeX
    @inproceedings {10.2312:3dor.20201162,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {Schreck, Tobias and Theoharis, Theoharis and Pratikakis, Ioannis and Spagnuolo, Michela and Veltkamp, Remco C.},
    title = {{SHREC 2020 Track: River Gravel Characterization}},
    author = {Giachetti, Andrea and Biasotti, Silvia and Moscoso Thompson, Elia and Fraccarollo, Luigi and Nguyen, Quang and Nguyen, Hai-Dang and Tran, Minh-Triet and Arvanitis, Gerasimos and Romanelis, Ioannis and Fotis, Vlasis and Moustakas, Konstantinos and Tortorici, Claudio and Werghi, Naoufel and Berretti, Stefano},
    year = {2020},
    publisher = {The Eurographics Association},
    ISSN = {1997-0471},
    ISBN = {978-3-03868-126-7},
    DOI = {10.2312/3dor.20201162}
    }
    URI
    https://doi.org/10.2312/3dor.20201162
    https://diglib.eg.org:443/handle/10.2312/3dor20201162
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA