Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet

Collins, Tim; Woolley, Sandra; Gehlken, Erlend; Ch’ng, Eugene

doi:10.1109/vsmm.2017.8346284

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…The fragments shown in Figure 12 have been made available in an online interaction [48] with an interface designed to support joining and study tasks [49]. The acquisition system has also been used in the virtual joining of two tablet fragments from the third tablet of the Old Babylonian version of the Atrahasis epic [50][51][52]. The physical tablet fragments are separated by 1000 km: one in the British Museum in London and the other in the Musée d'Art et d'Histoire in Geneva.…”

Section: Resultsmentioning

confidence: 99%

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

et al. 2019

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The photogrammetric acquisition of 3D object models can be achieved by Structure from Motion (SfM) computation of photographs taken from multiple viewpoints. All-around 3D models of small artefacts with complex geometry can be difficult to acquire photogrammetrically and the precision of the acquired models can be diminished by the generic application of automated photogrammetric workflows. In this paper, we present two versions of a complete rotary photogrammetric system and an automated workflow for all-around, precise, reliable and low-cost acquisitions of large numbers of small artefacts, together with consideration of the visual quality of the model textures. The acquisition systems comprise a turntable and (i) a computer and digital camera or (ii) a smartphone designed to be ultra-low cost (less than $150). Experimental results are presented which demonstrate an acquisition precision of less than 40 µm using a 12.2 Megapixel digital camera and less than 80 µm using an 8 Megapixel smartphone. The novel contribution of this work centres on the design of an automated solution that achieves high-precision, photographically textured 3D acquisitions at a fraction of the cost of currently available systems. This could significantly benefit the digitisation efforts of collectors, curators and archaeologists as well as the wider population.

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Section: Resultsmentioning

confidence: 99%

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

et al. 2019

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“…Starting 5,000 years ago with simple pictograms impressed in handheld clay tablets, a complex system of 'cuneiform' writing evolved and remained in use for some 3,000 years. The digitization, virtualization and virtual reconstruction of curated cuneiform tablets and fragments (Collins et al, 2017) are ambitions of The Virtual Cuneiform Tablet Reconstruction (VCTR) Project (virtualcuneiform.org), a project that this research contributes toward. Cuneiform tablets are particularly difficult to access.…”

Section: Research Case Study -Engaging Vr Experiences For Cuneiform T...mentioning

confidence: 99%

Connected Virtual Experiences for Small and Less Visible Museum Artefacts

Rhodes

Woolley

2022

Electronic Workshops in Computing

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This paper summarises a programme of research motivated by the challenge of achieving engaging 3D virtual experiences for small heritage artefacts, the sorts of artefacts that mare difficult to display and may be easily overlooked in museum settings. The challenges are i) a lack of easy-to-use, low-cost solutions for acquiring all around, textured 3D models of small form-factor objects and ii) the inherent challenge of achieving engaging and connected virtual experiences for artefacts that are not visibly striking. The paper summarises the research challenges and outlines the research case study -a virtual reality experience for 'cuneiform tablets', ancient written records impressed on handheld clay 'tablets'.

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“…Initial results already show that one can identify new pieces of text as well as many possible text joins. Advances in cost-effective high quality 3D scanning allow exact measurements of inscribed objects that can lead to the joining of broken tablet fragments with a matching algorithm in 3D space, as done for example by the Virtual Cuneiform Tablet Reconstruction Project (48,49).…”

Section: Related Workmentioning

confidence: 99%

Restoration of fragmentary Babylonian texts using recurrent neural networks

Fetaya

Lifshitz

Aaron

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

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The main sources of information regarding ancient Mesopotamian history and culture are clay cuneiform tablets. Many of these tablets are damaged, leading to missing information. Currently, the missing text is manually reconstructed by experts. We investigate the possibility of assisting scholars, by modeling the language using recurrent neural networks and automatically completing the breaks in ancient Akkadian texts from Achaemenid period Babylonia.

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Computational aspects of model acquisition and join geometry for the virtual reconstruction of the atrahasis cuneiform tablet

Cited by 5 publications

References 14 publications

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

Connected Virtual Experiences for Small and Less Visible Museum Artefacts

Restoration of fragmentary Babylonian texts using recurrent neural networks

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