The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse
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Abstract (arXiv)
Within anthropology, the use of three-dimensional (3D) imaging has become increasingly common and widespread since it broadens the available avenues for addressing a wide range of key anthropological issues. The ease with which 3D models can be generated and shared has major impact on research, cultural heritage, education, science communication, and public engagement, as well as contributing to the preservation of the physical specimens and archiving collections in widely accessible data bases. Current scanning protocols have the ability to create the required research quality 3D models; however, they tend to be time and labor intensive and not practical when working with large collections. Here we describe a streamlined Batch Artifact Scanning Protocol to rapidly create 3D models using a medical CT scanner. While this method can be used on a variety of material types, we have, for specificity, applied our protocol to a large collection of experimentally broken ungulate limb bones. By employing the Batch Artifact Scanning Protocol, we were able to efficiently create 3D models of 2,474 bone fragments at a rate of less than 4 minutes per specimen.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 1 of its 138 references that are in the map. First posted on arXiv 5 May 2022.
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1 of 138 references.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 2.
4 papers.
- 2024A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Partscited by 9
- 2022Use and Misuse of Machine Learning in Anthropologycited by 3
- 2022Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agentcited by 1
- 2024En masse scanning and automated surfacing of small objects using Micro-CTcited by 1
- 2024A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts18 Oct 2024
- 2024En masse scanning and automated surfacing of small objects using Micro-CT9 Oct 2024
- 2022Use and Misuse of Machine Learning in Anthropology6 Sep 2022
- 2022Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent20 May 2022