Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration

Version 1 : Received: 12 April 2024 / Approved: 30 April 2024 / Online: 2 May 2024 (07:56:28 CEST)

How to cite: Massone, Q.; Druon, S.; Triboulet, J. A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration. Preprints 2024, 2024050041. https://doi.org/10.20944/preprints202405.0041.v1 Massone, Q.; Druon, S.; Triboulet, J. A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration. Preprints 2024, 2024050041. https://doi.org/10.20944/preprints202405.0041.v1

Abstract

Aquifer karstic structures, due to their complex nature, present significant challenges in accurately mapping their intricate features. Traditional methods often rely on invasive techniques or sophisticated equipment, limiting accessibility and feasibility. In this paper, we propose a new approach to non-invasive, low-cost 3D reconstruction using a camera that observes the light projection of a simple diving lamp. Our method capitalizes on the principles of structured light, leveraging the projection of light contours onto the karstic surfaces. By capturing the resultant light patterns with a camera, we reconstruct three-dimensional representations of the structures. The simplicity and portability of the equipment required make this method highly versatile, enabling deployment in diverse underwater environments. We validate our approach through extensive field experiments conducted in various aquifer karstic settings. The results demonstrate the efficacy of our method in accurately delineating intricate karstic features with remarkable detail and resolution. Furthermore, the non-destructive nature of this technique minimizes disturbance to delicate aquatic ecosystems while providing valuable insights into the subterranean landscape. This innovative methodology not only offers a cost-effective and non-invasive means of mapping aquifer karstic structures but also opens avenues for comprehensive environmental monitoring and resource management. Its potential applications span hydrogeological studies, environmental conservation efforts, and sustainable water resource management in karstic terrains worldwide.

Keywords

Structured light method; active 3D reconstruction; cone estimation; underwater karst aquifer

Subject

Computer Science and Mathematics, Robotics

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