Inhaltszusammenfassung

Photogrammetric acquisition has had widespread use in the last decades. Photogrammetric reconstruction is critically dependent on a set of acquisition parameters that determine the geometric and radiometric integrity of the resulting model; among these, the number of images and their spatial distribution—including baseline length, camera orientation, and coverage redundancy—play a fundamental role in ensuring adequate parallax for 3D reconstruction. However, documenting the photogrammetric wo...Photogrammetric acquisition has had widespread use in the last decades. Photogrammetric reconstruction is critically dependent on a set of acquisition parameters that determine the geometric and radiometric integrity of the resulting model; among these, the number of images and their spatial distribution—including baseline length, camera orientation, and coverage redundancy—play a fundamental role in ensuring adequate parallax for 3D reconstruction. However, documenting the photogrammetric workflow remains a significant challenge for operators due to the difficulty of organizing metadata annotation during the survey activity. Operators either use proprietary modules that support metadata filling, which are distributed with photogrammetric suites but are constrained to their specific structures, or employ self-defined text-based approaches that, being structure-free, require a strong motivation. The results contain metadata with issues of consistency, completeness, and structure, as well as limitations in data traceability, model reliability, and process reproducibility. This is particularly relevant in interdisciplinary projects where data integration is crucial.This paper proposes the adoption of a tool specifically designed for documenting the photogrammetric process, overcoming the limitations of current approaches. The tool, called T.i.A.M.A.T (Tool for the Quality Assessment of 3D Models used in Archaeological Tasks) relies on a widely acknowledged workflow that is composed of the photogrammetric key phases (acquisition, processing, modeling, export), with their paradigmatic attributes, such as acquisition conditions, algorithmic choices, and export parameters. The process phases and their attributes are encoded in a CIDOC-CRM-based representation model that supports the integration of processes and data across projects and disciplines. The paper, after reviewing existing approaches, illustrates the tool’s design and implementation and provides a proof of concept through applications to paradigmatic case studies that span various feature values.» weiterlesen» einklappen

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Klassifikation

DFG Fachgebiet:
4.43-06 - Datenmanagement, datenintensive Systeme, Informatik-Methoden in der Wirtschaftsinformatik

DDC Sachgruppe:
Informatik