Three individuals, three stories, three burials from medieval Trondheim, Norway

Hamre, Stian S.; Ersland, Geir; Daux, Valérie; Parson, Walther; Wilkinson, Caroline

doi:10.1371/journal.pone.0180277

Cited by 16 publications

(6 citation statements)

References 66 publications

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“…Computational systems are dependent on facial templates, mean tissue depth markers, and specific population data [ 2 , 27 ]. In this study, soft tissue thickness markers [ 1 ], lip prediction [ 17 ] and nose tip prediction methods [ 15 ] were used from studies with Brazilians in order to apply regional measures for better reconstruction efficiency [ 21 , 24 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

Assessment of accuracy and recognition of three-dimensional computerized forensic craniofacial reconstruction

et al. 2018

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Facial reconstruction is a technique that aims to reproduce the individual facial characteristics based on interpretation of the skull, with the objective of recognition leading to identification. The aim of this paper was to evaluate the accuracy and recognition level of three-dimensional (3D) computerized forensic craniofacial reconstruction (CCFR) performed in a blind test on open-source software using computed tomography (CT) data from live subjects. Four CCFRs were produced by one of the researchers, who was provided with information concerning the age, sex, and ethnic group of each subject. The CCFRs were produced using Blender® with 3D models obtained from the CT data and templates from the MakeHuman® program. The evaluation of accuracy was carried out in CloudCompare, by geometric comparison of the CCFR to the subject 3D face model (obtained from the CT data). A recognition level was performed using the Picasa® recognition tool with a frontal standardized photography, images of the subject CT face model and the CCFR. Soft-tissue depth and nose, ears and mouth were based on published data, observing Brazilian facial parameters. The results were presented from all the points that form the CCFR model, with an average for each comparison between 63% and 74% with a distance -2.5 ≤ x ≤ 2.5 mm from the skin surface. The average distances were 1.66 to 0.33 mm and greater distances were observed around the eyes, cheeks, mental and zygomatic regions. Two of the four CCFRs were correctly matched by the Picasa® tool. Free software programs are capable of producing 3D CCFRs with plausible levels of accuracy and recognition and therefore indicate their value for use in forensic applications.

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Section: Discussionmentioning

confidence: 99%

Assessment of accuracy and recognition of three-dimensional computerized forensic craniofacial reconstruction

et al. 2018

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“…The main purpose of craniofacial analysis and reconstruction of archaeological human remains is rehumanisation and promotion of audience empathy with people from the past. A number of projects have used archaeological facial depictions to represent historical, migratory populations (Hamre, et al 2017); re-present ancient human remains as people rather than artefacts in museum display settings (Crossland, 2009;Smith et al 2020); re-humanise ancient Egyptian human remains to restore a sense of dignity and personhood (Smith, et al 2019) and represent people from the past with facial differences (Smith, 2018;Wilkinson, 2018).…”

Section: What Is the Purpose Of A Facial Depiction?mentioning

confidence: 99%

Digital 2D, 2.5D and 3D Methods for Adding Photo-Realistic Textures to 3D Facial Depictions of People from the Past

Roughley

Liu

2022

Advances in Experimental Medicine and Biology

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Facial reconstruction is a technique that can be used to estimate individual faces from human skulls.The presentation of 3D facial reconstructions as photo-realistic depictions of people from the past to public audiences varies widely due to differing methods, the artists' CGI skillset, and access to VFX software required to generate plausible faces. This chapter describes three digital methods for the addition of realistic textures to 3D facial reconstructions; a 2D photo-composite method, a 3D digital painting and rendering method, and a previously undescribed hybrid 2.5D method.These methods are compared and discussed in relation to artistic proficiency, morphological accuracy and practitioner bias.

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“…Ultimately, from a 3D model, it is possible to operate a face reconstruction of an individual that, if it is well-made (Lee, Yoon, Song, Wilkinson & Shin 2014;Suppersberger Hamre, Ersland, Daux, Parson & Wilkinson, 2017) can be an educational tool of enhancement for visitors and so an important instrument of public archaeology (Allen, 2014).…”

Section: D Modellingmentioning

confidence: 99%

Care of Ancient Human Remains. Conservation and Management With 3d Modeling and DBMS

Dellu

Sciatti²

2021

Proceedings ARQUEOLÓGICA 2.0 - 9th International Congress &Amp; 3rd GEORES - GEOmatics and pREServation

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The interaction between humanities and scientific disciplines is a slow and recent process, which is still standing influencing more and more frequently the reconstruction of our history. Ancient human remains are a significant part of our heritage, both from a cultural and biological point of view. They keep trace of our evolution at a macroscopic and genetic level; for this reason they must be adequately protected. Since 2018, the Superintendence of Archeology, Fine Arts and Landscape for the metropolitan city of Bari (Ministry of Cultural Heritage and Activities and for Tourism of Italy) has launched a specific protocol for the management of physical anthropological finds, with the aim of protecting, knowing and enhancing them. The use of new technologies, such as 3D modeling of the finds and the management of all archaeological and anthropological data through DBMS, will allow us to carry out long-term protection. This will be the basis for achieving new studies and enhancement activities on ancient human remains, without increasing their degradation.

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Three individuals, three stories, three burials from medieval Trondheim, Norway

Cited by 16 publications

References 66 publications

Assessment of accuracy and recognition of three-dimensional computerized forensic craniofacial reconstruction

Assessment of accuracy and recognition of three-dimensional computerized forensic craniofacial reconstruction

Digital 2D, 2.5D and 3D Methods for Adding Photo-Realistic Textures to 3D Facial Depictions of People from the Past

Care of Ancient Human Remains. Conservation and Management With 3d Modeling and DBMS

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