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Automatic Alignment of Multi-scale Aerial and Underwater Photogrammetric Point Clouds: A Case Study in the Maldivian Coral Reef

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Image Analysis and Processing - ICIAP 2023 Workshops (ICIAP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14365))

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Abstract

The research question that the paper investigates is whether the usage of state of the art algorithms for point clouds registration solves the problem of multi-scale vision-based point clouds registration in mixed aerial and underwater environments. This paper reports very preliminary results on the data we have been able to procure, in the context of a coral reef restoration project nearby Magoodhoo Island (Maldives). The results obtained by exploiting state of the art algorithms are promising, considering that those data presents hard samples, in particular for their multi-scale nature (noise in captured 3D points increases with depth). However, further investigation on larger data-sets is needed to confirm the overall applicability of the current algorithms to this problem.

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Authors and Affiliations

  1. Department Informatica, Sistemistica e Communicazione, Milano, Italy

    Federica Di Lauro & Domenico G. Sorrenti

  2. Department Scienze dell’Ambiente e della Terra, Lombardy, Italy

    Luca Fallati & Alessandra Savini

  3. School of Law, Università degli Studi di Milano, Bicocca, Italy

    Simone Fontana

Authors
  1. Federica Di Lauro
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  2. Luca Fallati
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  3. Simone Fontana
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  4. Alessandra Savini
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  5. Domenico G. Sorrenti
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Corresponding author

Correspondence to Federica Di Lauro .

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Editors and Affiliations

  1. University of Udine, Udine, Italy

    Gian Luca Foresti

  2. University of Udine, Udine, Italy

    Andrea Fusiello

  3. University of York, York, UK

    Edwin Hancock

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Di Lauro, F., Fallati, L., Fontana, S., Savini, A., Sorrenti, D.G. (2024). Automatic Alignment of Multi-scale Aerial and Underwater Photogrammetric Point Clouds: A Case Study in the Maldivian Coral Reef. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, vol 14365. Springer, Cham. https://doi.org/10.1007/978-3-031-51023-6_37

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  • DOI: https://doi.org/10.1007/978-3-031-51023-6_37

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  • Online ISBN: 978-3-031-51023-6

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