Photogrammetry for medieval archaeology: A way to represent and analyse stratigraphy

Drap, Pierre; Merad, Djamal; Boï, Jean-Marc; Seinturier, Julien; Peloso, Daniela; Reidinger, Christophe; Vannini, Guido; Nucciotti, Michele; Pruno, Elisa

doi:10.1109/vsmm.2012.6365920

Cited by 13 publications

(4 citation statements)

References 11 publications

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“…For some years, the development of affordable, powerful, and reliable unmanned aerial vehicles (UAVs) opens new possibilities within digital heritage documentation. The use of drone photogrammetry or structure from motion (SfM) mainly covers the field of the so-called building information modelling (BIM) and construction research (e.g., [5][6][7][8][9][10]). Another common task is damage detection, which is published, for example, for Italy [11][12][13], Germany [14][15][16], or Turkey [17].…”

Section: Introductionmentioning

confidence: 99%

Statistical Evaluation of the Accuracy of Consumer Drone Photogrammetry at a Romanesque Church in Eastern Bavaria (Germany)

Linck,

Stele,

Schimmer

2024

NDT

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For several years, photogrammetric surveys are quite often applied for surveying cultural heritage. For a detailed and accurate result, it is indispensable that the calculated point cloud represents the original geometry of the building in high quality, with vertical and horizontal structures in the same manner. Whereas many published papers in the field of digital heritage documentation are dealing with creating such models or using photogrammetric data for damage detection, only a few papers are investigating the crucial fact of accuracy and how it can be influenced by the used camera resolution. We want to present a case study, in which we compare the photogrammetric point cloud of a normal consumer drone with a high-end device. Beside the actual survey results showing the details of a Romanesque church, a statistical calculation of deviation is shown. It becomes evident that there is only a difference within some millimetres between the corresponding point clouds in most parts of the monument. Hence, it can be stated that, for most applications in heritage protection, affordable consumer unmanned aerial vehicles (UAVs) are sufficient. Only if faint details have to be resolved will a better resolution of the mounted camera be required.

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Section: Introductionmentioning

confidence: 99%

Statistical Evaluation of the Accuracy of Consumer Drone Photogrammetry at a Romanesque Church in Eastern Bavaria (Germany)

Linck,

Stele,

Schimmer

2024

NDT

View full text Add to dashboard Cite

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“…Among them, digital photogrammetry is a cheap and versatile reconstruction technique, and has had positive implications in the study and digital representation of any type of cultural heritage, i.e., archaeological [31,32] and inaccessible sites [33][34][35][36][37][38], underwater ruins [35] and small artefacts [39,40]. Moreover, in the field of scientific research, the digital products obtained can be useful not only for the virtual representation of an artwork but also in documentation [41], monitoring [42], in the analysis of states of degradation [43,44] and for material mapping [45][46][47][48][49].…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Characterisation of the Wall Paintings in the Byzantine Church of Palazzo Simi (Bari, Italy) and Digital Photogrammetric Survey for a Pigment Mapping

et al. 2023

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The paper illustrates the results of a non-invasive characterisation of pigments and their mixtures in the pictorial surfaces of the wall paintings (10th century) found in the Byzantine church of Palazzo Simi in Bari (Italy). The investigation techniques included portable digital polarised microscopy, fibre optic reflectance spectroscopy (FORS) and X-ray fluorescence spectroscopy (XRF). Data comparison supported the recognition of red and yellow ochres, green earth, vine black, minium and Egyptian blue. The presence of some pigment mixtures demonstrated the recurrence of specific technical expedient used by local medieval artists in order to simulate more expensive pigments, which enabled contribution to the understanding of the valuable artistic tradition of the Apulian Middle Age. Both for purposes of conservation and fruition of the site, which is not always accessible, and due to the complexity in taking suitable photographs for the representation of results, the latter was performed on orthophotos extracted from a digital photogrammetric 3D model of the whole archaeological site. By means of chromatic overlapped layers, an interactive compositional map of the pictorial surfaces was produced.

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“…The automated processing traditionally involves extracting and describing distinctive features in each of the images, matching them, and then applying a combination of Structure-from-Motion(SfM) and Multi-View Stereo(MVS) techniques. In the context of underwater archaeology, this has been shown to produce very good results [2] especially in deep waters i.e. > 40m, where no natural light reaches the site.…”

Section: Introductionmentioning

confidence: 99%

DeepCaustics: Classification and Removal of Caustics From Underwater Imagery

Forbes

Goldsmith

Mudur

et al. 2019

IEEE J. Oceanic Eng.

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Caustics are complex physical phenomena resulting from the projection of light rays being reflected or refracted by a curved surface. In this work, we address the problem of classifying and removing caustics from images and propose a novel solution based on two Convolutional Neural Networks (CNNs): SalienceNet and DeepCaustics. Caustics result in changes in illumination which are continuous in nature, therefore the first network is trained to produce a classification of caustics which is represented as a saliency map of the likelihood of caustics occurring at a pixel. In applications where caustic removal is essential, the second network is trained to generate a caustic-free image. It is extremely hard to generate real ground truth for caustics. We demonstrate how synthetic caustic data can be used for training in such cases, and then transfer the learning to real data. To the best of our knowledge, out of the handful of techniques which have been proposed this is the first time that the complex problem of caustic removal has been reformulated and addressed as a classification and learning problem. This work is motivated by the real-world challenges in underwater archaeology.

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Photogrammetry for medieval archaeology: A way to represent and analyse stratigraphy

Abstract: International audienc

Cited by 13 publications

References 11 publications

Statistical Evaluation of the Accuracy of Consumer Drone Photogrammetry at a Romanesque Church in Eastern Bavaria (Germany)

Statistical Evaluation of the Accuracy of Consumer Drone Photogrammetry at a Romanesque Church in Eastern Bavaria (Germany)

Non-Invasive Characterisation of the Wall Paintings in the Byzantine Church of Palazzo Simi (Bari, Italy) and Digital Photogrammetric Survey for a Pigment Mapping

DeepCaustics: Classification and Removal of Caustics From Underwater Imagery

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