id |
caadria2021_220 |
authors |
MacDonald, Katie and Schumann, Kyle |
year |
2021 |
title |
Twinned Assemblage - Curating and Distilling Digital Doppelgangers |
doi |
https://doi.org/10.52842/conf.caadria.2021.1.693
|
source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 693-702 |
summary |
Recent developments in digital fabrication have made increasingly intelligent use of machine visioning and 3D scanning. These technologies enable ever-higher resolution digital models of physical material, and present opportunities for physical material to gain agency in the design process. Digital design workflows using such technologies require ever-greater computing power as the resolution of digitized models increases, and high-fidelity 3D scanning systems become cost-prohibitive, creating obstacles to widespread use. Twinned assemblage uses consumer-grade photogrammetry software, lowering the cost of equipment required, and presents a series of distillation methods that strategically reduce the fidelity of data digitally describing a physical object. Distillation methods discussed include reducing a mesh to a low-poly geometry, identifying the location and orientation of an object's largest faces, and creating 2D sections, among others. These methods can be designed intentionally to extract or highlight certain qualities in digital models, that in turn inform aggregation strategies generated through computational simulation. This paper presents several examples of such aggregations in a variety of materials, conveying benefits and challenges of the process. Such methods present opportunities for granting agency to physical materials in the design process, and for the democratized use of digitizing technologies. |
keywords |
Authorship; Digitizing; Material Agency; Digital Design; Democratized Technology |
series |
CAADRIA |
email |
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full text |
file.pdf (4,126,462 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:59 |
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