Automatic Control for Adaptive Lighting System for Underwater Photogrammetry Image Acquisition

dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento de Ingeniería
dc.contributor.authorMendoza, R.
dc.contributor.authorHuanca, D.
dc.contributor.authorMenacho, D.
dc.contributor.authorArce, D.
dc.date.accessioned2026-03-13T16:59:59Z
dc.date.issued2022
dc.description.abstractUnderwater photogrammetry has been used for multiple applications in research, analysis and entertainment activities. It allows the generation of three-dimensional (3D) representation of underwater ecosystems, which provides helpful information. In addition, according to technological developments, this technique has become an inexpensive and simple alternative to generate a 3D model. However, underwater photogrammetry has some challenges related to illumination in medium-depth and large-depth zones, and how it influences image quality. Therefore, this paper presents the design and testing of automatic control for an adaptive lighting system. The purpose is to generate adequate illumination over the area of interest and obtain images with optimal illumination, which could allow building better 3D models. From the results, we will analyze the control signal convergence, stabilization time, appearance of the real image and robustness to different values of the control parameters. Particularly, according to the control parameters selected and the considerations over the tests, a 22.5% and 15.3% illumination capacity is required for underwater and ground image acquisition, respectively.
dc.description.sponsorshipFunding: The authors also gratefully acknowledge the support from the Pontifica Universidad Catolica del Perú; Funding text 2: VI. ACKNOWLEDGMENT The authors would like to acknowledge CONCYTEC and its program PROCIENCIA (project 161-2020) for providing funds to the project within which this work was developed.
dc.identifier.doihttps://doi.org/10.1109/OCEANS47191.2022.9977265
dc.identifier.urihttp://hdl.handle.net/20.500.14657/206511
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.conferencenameOceans Conference Record (IEEE); Vol. 2022-October (2022)
dc.relation.ispartofurn:isbn:978-1-6654-6810-7
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPhotogrammetry
dc.subjectUnderwater
dc.subjectComputer science
dc.subjectRobustness (evolution)
dc.subjectComputer vision
dc.subjectArtificial intelligence
dc.subjectGeography
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00
dc.titleAutomatic Control for Adaptive Lighting System for Underwater Photogrammetry Image Acquisition
dc.typehttp://purl.org/coar/resource_type/c_5794
dc.type.otherComunicación de congreso
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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