SHREC 2020 Track: River Gravel Characterization

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.
Description

        
@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
Moustakas, Konstantinos
and
Tortorici, Claudio
and
Werghi, Naoufel
and
Berretti, Stefano
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
}, year = {
2020
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0471
}, ISBN = {
978-3-03868-126-7
}, DOI = {
10.2312/3dor.20201162
} }
Citation