Data Provenance in Photogrammetry Through Documentation Protocols

Abstract

ABSTRACT:Documenting the relevant aspects in digitisation processes such as photogrammetry in order to provide a robust provenance for their products continues to present a challenge. The creation of a product that can be re-used scientifically requires a framework for consistent, standardised documentation of the entire digitisation pipeline. This article provides an analysis of the problems inherent to such goals and presents a series of protocols to document the various steps of a photogrammetric workflow. We propose this pipeline, with descriptors to track all phases of digital product creation in order to assure data provenance and enable the validation of the operations from an analytic and production perspective. The approach aims to support adopters of the workflow to define procedures with a long term perspective. The conceptual schema we present is founded on an analysis of information and actor exchanges in the digitisation process. The metadata were defined through the synthesis of previous proposals in this area and were tested on a case study. We performed the digitisation of a set of cultural heritage artefacts from an Iron Age burial in Ilmendorf, Germany. The objects were captured and processed using different techniques, including a comparison of different imaging tools and algorithms. This augmented the complexity of the process allowing us to test the flexibility of the schema for documenting complex scenarios. Although we have only presented a photogrammetry digitisation scenario, we claim that our schema is easily applicable to a multitude of 3D documentation processes.

metadata enriched system for the documentation of multi-modal digital imaging surveys

“…However, our approach is inspired by a wider CH oriented conceptual model developed in the past few years at different levels (acquisition, processing, annotation, etc.) to create and improve data provenance and semantically enriched digital documentation [Carboni et al 2016]. As a proof of concept, from the CIDOC-CRM based W7 mapping presented in Fig.…”

“…Such a scenario is not so foreign, as it already occurs in our daily practice. Beyond technical issues or technological obsolescence, satisfying the minimal requirement of data provenance is an open challenge identified by the scientific CH community [Ram and Liu 2008], including the specific application of 2D/3D digitization [Carboni et al 2016]. Furthermore, data provenance is even more important as most current studies combine multiple sources implying data fusion stimulating issues [Ramos andRemondino 2015, Al-Barakati et al 2014].…”

Photogrammetry for Quick Survey in Emergency Conditions: The Case of Villa Galvagnina

“…However, it should be underlined that every model is still an interpretation of the reality and it depends both on the accuracy of the instruments and on the choices made during the survey process (Fallavolita et al, 2015): this is a fundamental assumption to be remembered when approaching survey of cultural heritage. 3D digital models could have different aims, including structural analysis, the implementation of interactive models for educational purposes and the collection of several data as support for the management of cultural heritage (Carboni et al, 2016). In this regard, the development of BIM models, suited to collect all information relevant to study and protect an ancient building, such as the characteristic of the materials or previous restoration works, is the last frontier of image-based modelling.…”

“…Among them, it is worth mentioning the study carried out by J. Valença to establish guidelines to best-practice procedures and to validate the results obtained by application of close-range photogrammetry to build 3D geometric models and for evaluation of displacements (Valença, 2014). Useful suggestion for good working practices can be found in the research conducted by Carboni et al, that develops a pipeline for imaged-based modelling process, in order to assure data provenance and enable the validation of the operations from an analytic and production perspective (Carboni et al, 2016). Furthermore, explanation on how to run a proper survey using structure from motion techniques may be found in the Agisoft Metashape (Agisoft, 2019) and 3D Flow Zephyr (3DFlow, 2018) user's guides and in the handbook Photogrammetric Applications for Cultural Heritage.…”

Geometric Primitive Extraction From Semantically Enriched Point Clouds

“…In various mapping and cultural heritage applications, this semantically enhanced data is further associated with external metadata, i.e. additional specific information regarding the scene, contributing towards a more holistic data representation (Carboni et al, 2016). Moreover, in the cultural heritage domain, the use of Historic Building Information Modelling (HBIM) has become a research topic of great interest as it is able to model the state of complex historic structures throughout their life cycle by deconstructing and analysing their different components and details, and several studies have worked towards this scope (Barazzetti, 2016;Murtiyoso and Grussenmayer, 2019;Yang et al, 2020a).…”