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.

Di Lauro, F., Fallati, L., Fontana, S., Savini, A., Sorrenti, D. (2024). Automatic Alignment of Multi-scale Aerial and Underwater Photogrammetric Point Clouds: A Case Study in the Maldivian Coral Reef. In Image Analysis and Processing - ICIAP 2023 Workshops Udine, Italy, September 11–15, 2023, Proceedings, Part I (pp.442-453). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-51023-6_37].

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

Di Lauro F.
;
Fallati L.;Fontana S.;Savini A.;Sorrenti D. G.
2024

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.
slide + paper
Automatic alignment; Case-studies; Coral reef; Multi-scales; Point cloud registration; Point-clouds; Research questions; State-of-the-art algorithms; Underwater environments; Vision based
English
22nd International Conference on Image Analysis and Processing, ICIAP 2023 - September 11–15, 2023
2023
Foresti, GL; Fusiello, A; Hancock, E
Image Analysis and Processing - ICIAP 2023 Workshops Udine, Italy, September 11–15, 2023, Proceedings, Part I
9783031510229
24-gen-2024
2024
14365 LNCS
442
453
none
Di Lauro, F., Fallati, L., Fontana, S., Savini, A., Sorrenti, D. (2024). Automatic Alignment of Multi-scale Aerial and Underwater Photogrammetric Point Clouds: A Case Study in the Maldivian Coral Reef. In Image Analysis and Processing - ICIAP 2023 Workshops Udine, Italy, September 11–15, 2023, Proceedings, Part I (pp.442-453). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-51023-6_37].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/475802
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