Macro Photogrammetry for the Damage Assessment of Artwork Painted Surfaces

Angheluta, Laurentiu; Rădvan, R.

doi:10.5194/isprs-archives-xlii-2-w15-101-2019

Cited by 9 publications

(7 citation statements)

References 4 publications

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“…However, to get a proper macro photo set, it is necessary to ensure accurate parallel camera pan both horizontally and vertically. In Anghelut , ă and Rădvan [21], they presented a workflow using macro photogrammetry for the 3D digitization of polychromies on a wooden support. The camera was mounted on a robust and precise positioning system (ARTIST CPS-200 from ArtInnovation) to achieve camera movement on all three axes.…”

Section: Methods and Equipment For Crafting 3d Modelsmentioning

confidence: 99%

Macro Photogrammetry & Surface Features Extraction for Paleolithic Portable Art Documentation

2020

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In this article, we propose a methodology for the archaeological documentation of limestone plaquettes decorated with faint paintings and fine engravings. The plaquette number 16330 is presented, belonging to the portable art collection in Cova del Parpalló (Gandía, Spain), one of the most important Paleolithic sites in the UNESCO’s Rock Art of the Mediterranean Basin on the Iberian Peninsula. Macro photogrammetry is used to generate a 3D model and basic treatments on raster images. The resulting 3D model has a spatial resolution of tens of microns and was used to generate a digital elevation model (DEM) and orthorectified macro photographs for documenting the engravings and paintings. All stages of the workflow are detailed in-depth, specifying the data collection parameters and the configuration used in the subsequent processing with HyperCube and DStretch software. The resulting documentation is accurate, reproducible, and objective and allows the reinterpretation of the available graphic documentation started in the 1990s.

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Section: Methods and Equipment For Crafting 3d Modelsmentioning

confidence: 99%

Macro Photogrammetry & Surface Features Extraction for Paleolithic Portable Art Documentation

2020

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“…Applications of terrestrial multi-view image-based modeling, and texturing, for heritage applications, vary considerably [8,9]. This technique has been implemented towards high-resolution recording and evaluation of the state of preservation of stone [10], wood [11], and painted artworks [12]. Although, unless measurable geometrical changes have occurred on the object, close-range photogrammetry with visible imagery has little to offer for the assessment of degradation on its own.…”

Section: Multi-view Image Recordingmentioning

confidence: 99%

Image-based metric heritage modeling in the near-infrared spectrum

2020

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Digital photogrammetry and spectral imaging are widely used in heritage sciences towards the comprehensive recording, understanding, and protection of historical artifacts and artworks. The availability of consumer-grade modified cameras for spectral acquisition, as an alternative to expensive multispectral sensors and multi-sensor apparatuses, along with semi-automatic software implementations of Structure-from-Motion (SfM) and Multiple-View-Stereo (MVS) algorithms, has made more feasible than ever the combination of those techniques. In the research presented here, the authors assess image-based modeling from near-infrared (NIR) imagery acquired with modified consumergrade cameras, with applications on tangible heritage. Three-dimensional (3D) meshes, textured with the non-visible data, are produced and evaluated. Specifically, metric evaluations are conducted through extensive comparisons with models produced with image-based modeling from visible (VIS) imagery and with structured light scanning, to check the accuracy of results. Furthermore, the authors observe and discuss, how the implemented NIR modeling approach, affects the surface of the reconstructed models, and may counteract specific problems which arise from lighting conditions during VIS acquisition. The radiometric properties of the produced results are evaluated, in comparison to the respective results in the visible spectrum, on the capacity to enhance observation towards the characterization of the surface and under-surface state of preservation, and consequently, to support conservation interventions.

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“…Applications of terrestrial multi-view image-based modeling and texturing for large-scale heritage applications vary considerably. This technique has been implemented towards high resolution documentation and virtual restoration of small artefacts [8], damaged pottery [9], rock art [10], wall paintings [11] and decorative friezes [12], comprehensive investigations on pre-historic engravings [13], ancient Egyptian coffins [14] and ancient inscriptions [15], and evaluation of damage [16] and restoration works [17] on painted surfaces.…”

Section: Multi-view Image Recordingmentioning

confidence: 99%

Image-based metric heritage modeling in the near-infrared spectrum

Adamopoulos

Bovero

Rinaudo

2020

Preprint

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Digital photogrammetry and spectral imaging are widely used in heritage sciences, towards the comprehensive recording, understanding, and protection of historical artefacts and artworks. The availability of consumer-grade modified cameras for spectral acquisition, as an alternative to expensive multispectral sensors and multi-sensor apparatuses, along with semi-automatic software implementations of Structure-from-Motion (SfM) and Multiple-View-Stereo (MVS) algorithms, has made more feasible than ever the combination of those techniques. In the research presented here, the authors assess image-based modeling from near-infrared (NIR) imagery acquired with modified sensors, with applications on tangible heritage. Three-dimensional meshes, textured with the non-visible data, are produced and evaluated. Specifically, metric evaluations are conducted through extensive comparisons with models produced with high-resolution visible (VIS) spectrum image-based modeling, to check accuracy of results. Furthermore, the authors observe and discuss, when the implemented NIR modeling approach, enhances the preservation of surface detail on the reconstructed spectral models or counteracts certain problems arising from lighting conditions during VIS acquisition. Radiometric properties of the produced results are evaluated on the capacity to enhance observation towards the characterization of surface and under-surface state of preservation, and consequently, to support conservation interventions, in comparison to the respective results in visible spectrum.

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Macro Photogrammetry for the Damage Assessment of Artwork Painted Surfaces

Cited by 9 publications

References 4 publications

Macro Photogrammetry & Surface Features Extraction for Paleolithic Portable Art Documentation

Macro Photogrammetry & Surface Features Extraction for Paleolithic Portable Art Documentation

Image-based metric heritage modeling in the near-infrared spectrum

Image-based metric heritage modeling in the near-infrared spectrum

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