Ultra close-range digital photogrammetry in skeletal anthropology: A systematic review

Paolo Lussu and Elisabetta Marini

PLOS ONE, 2020, vol. 15, issue 4, 1-29

Abstract: Background: Ultra close-range digital photogrammetry (UCR-DP) is emerging as a robust technique for 3D model generation and represents a convenient and low-cost solution for rapid data acquisition in virtual anthropology. Objectives: This systematic review aims to analyse applications, technical implementation, and performance of UCR-DP in skeletal anthropology. Methods: The PRISMA guidelines were applied to the study. The bibliographic search was performed on March 1st, 2019 using Scopus and MEDLINE databases to retrieve peer-reviewed studies accessible in English full-text. The authors worked independently to select the articles meeting inclusion criteria, upon discussion. Studies underwent to quantitative and qualitative syntheses. Results: Twenty-six studies were selected. The majority appeared in 2016 or after and were focused on methodological aspects; the applications mainly dealt with the documentation of skeletal findings and the identification or comparison of anatomical features and trauma. Most authors used commercial software packages, and an offline approach. Research is still quite heterogeneous concerning methods, terminology and quality of results, and proper validation is still lacking. Conclusions: UCR-DP has great potential in skeletal anthropology, with many significant advantages: versatility in terms of application range and technical implementation, scalability, and photorealistic restitution. Validation of the technique, and the application of the cloud-based approach, with its reduced requirements relating to hardware, labour, time, and cost, could further facilitate the sharing of large collections for research and communication purposes.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0230948

DOI: 10.1371/journal.pone.0230948

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