Enhanced Underwater 3-D Reconstruction: Case Study at Los Organos Reef Using 3dFeatureUp and 3dVisualAppUp

dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento de Ingeniería
dc.contributor.authorMenacho, D.
dc.contributor.authorTorres, S.
dc.contributor.authorValle, L.
dc.contributor.authorArce, D.
dc.contributor.authorCarranza, C.
dc.date.accessioned2026-03-13T16:58:22Z
dc.date.issued2026
dc.description.abstractIn recent years, photogrammetry for tridimensional (3-D) reconstruction of underwater environments has gained significant interest, offering a nonintrusive approach to study and monitor aquatic ecosystems. However, underwater photogrammetry requires specialized equipment capable of capturing high-resolution images with adequate and uniform lighting. This article introduces two innovative methodologies, 3-D reconstruction based on Feature Enhancement (3dFeatureUp) and 3-D reconstruction based on Visual Appearance Enhancement (3dVisualAppUp), which are designed to enhance the accuracy and visual quality of 3-D underwater models. These methodologies incorporate novel algorithms for water image enhancement (WaterImgEnh) and water image restoration (WaterImgRest), aiming to address the challenges posed by underwater image acquisition such as light attenuation, color distortion, and visibility reduction. This approach is validated through the 3-D reconstruction of Los Organos Reef, located in Piura, Peru, employing a combination of standard and specialized underwater cameras along with a customized lighting system. The results demonstrate significant improvements in both the structural characteristics and visual appearance of the 3-D models, as compared to those generated by traditional methods or using specialized underwater cameras alone. The 3dFeatureUp method significantly enhances the structural features of the model by merging images from multiple cameras, while the 3dVisualAppUp methodology improves the visual quality of the models by correcting color imbalances and removing water effects.
dc.description.sponsorshipFunding: This work was supported by CONCYTEC – PROCIENCIA within the framework contract 161-2020-FONDECYT. The authors would like to thank the National Fund for Scientific, Technological Development and Technological Innovation (FONDECYT) through its national program PROCIENCIA (161-2020-FONDECYT) for providing the means and resources for this research and development.; Funding text 2: The authors would like to thank the National Fund for Scientific, Technological Development and Technological Innovation (FONDECYT) through its national program PROCIENCIA (161-2020-FONDECYT) for providing the means and resources for this research and development.; Funding text 3: Received 25 July 2024; revised 29 April 2025; accepted 2 July 2025. Date of publication 11 December 2025; date of current version 23 January 2026. This work was supported by CONCYTEC – PROCIENCIA within the framework contract 161-2020-FONDECYT. (Corresponding Author: Daniel Menacho) Associate Editor: S. Del Pizzo.
dc.identifier.doihttps://doi.org/10.1109/JOE.2025.3617910
dc.identifier.urihttp://hdl.handle.net/20.500.14657/205888
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofurn:issn:0364-9059
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourceIEEE Journal of Oceanic Engineering; Vol. 51, Núm. 1 (2026)
dc.subjectUnderwater
dc.subjectPhotogrammetry
dc.subjectVisibility
dc.subjectFeature (linguistics)
dc.subject3D reconstruction
dc.subjectVisual inspection
dc.subjectImage processing
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04
dc.titleEnhanced Underwater 3-D Reconstruction: Case Study at Los Organos Reef Using 3dFeatureUp and 3dVisualAppUp
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.type.otherArtículo
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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