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Exquisite Corpus

Published:07 December 2023Publication History

ABSTRACT

As humans, we regard our bodies through their visual surface components. The interior, when considered at all, is typically only due to medical concern for one's-self - rarely envisioning that of others. While radiological tools have dramatically improved our capacity for noninvasive representation, their use is often confined to the domains of personal health. This work seeks to instead uncover the possibilities they represent to show the full scope of our bodily form. In their obfuscation of the accustomed visual boundary, they remove associations of race and many aspects of gender. To further the dissolution of perceived identity, it excavates our inner sameness through algorithmically merging bodily interiors into 3d human chimeras - hybrid beings existing beyond the possibilities of genetic merger. Through the collection of simple participant biometrics, blended avatars constructed from real patient data are selected to give viewers a bodily representation that extends beyond the surface manifold commonly regarded as the self in both physical and virtual worlds. These avatars expand the representations usually seen within virtual spaces by, rather than existing as a 3d rendered hollow shell - absent the organs necessary for the operating individual, providing a volumetric representation of those elements unnecessary in the virtual space as the participant's character.

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            • Published in

              cover image ACM Conferences
              SA '23: SIGGRAPH Asia 2023 Art Gallery
              December 2023
              42 pages
              ISBN:9798400703089
              DOI:10.1145/3610537

              Copyright © 2023 Owner/Author(s)

              Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 7 December 2023

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              Overall Acceptance Rate178of869submissions,20%
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