2020
DOI: 10.1016/j.daach.2020.e00159
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From Ta-Kesh to Ta-Kush: The affordances of digital, haptic visualisation for heritage accessibility

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Cited by 9 publications
(12 citation statements)
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“…Optic and haptic interactions with digital human remains can provide additional affordances that are highly relevant in facial depiction. These technologies often allow the scientist, artist or member of the public to see closer and deeper, make decisions about the unknown and interact more attentively with faces from the past (Smith, et al, 2018). Face Lab will continue to utilise 3D digital technologies in facial analysis and depiction of human remains for forensic investigation, or historical figures for archaeological interpretation.…”
Section: Discussionmentioning
confidence: 99%
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“…Optic and haptic interactions with digital human remains can provide additional affordances that are highly relevant in facial depiction. These technologies often allow the scientist, artist or member of the public to see closer and deeper, make decisions about the unknown and interact more attentively with faces from the past (Smith, et al, 2018). Face Lab will continue to utilise 3D digital technologies in facial analysis and depiction of human remains for forensic investigation, or historical figures for archaeological interpretation.…”
Section: Discussionmentioning
confidence: 99%
“…(Wilson et al 2017) When 3D volumetric data of a skull is received by Face Lab, an open source volume rendering software, 'InVesalius©' (https://invesalius.github.io/) is used to generate a digital 3D model that can then be used in other software for facial depiction. While 'haptic' usually refers to touching surfaces, it can also refer to a mode of visual perception that is capable of penetrating a surface to visualise within a given form (Smith et al, 2018). This is a particular affordance of clinical imaging whereby manipulation of values of Hounsfield Units and interactions with 3D surfaces through volume rendering in a 3D space can allow the user to see beyond the surface, and from multiple viewpoints at once.…”
Section: Clinical Imaging and 3d Surface Scanning Datamentioning
confidence: 99%
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