id |
ecaade2020_245 |
authors |
Kampani, Anna and Varoudis, Tasos |
year |
2020 |
title |
Perceptive Machine - Visuospatial Configurations Through Machine Intuition |
doi |
https://doi.org/10.52842/conf.ecaade.2020.1.419
|
source |
Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 419-428 |
summary |
Computational tools in architecture have yet to adequately address the issue of evaluating and informing design through the prism of visual perception in 3-dimensional environments. Previous research has demonstrated that although the issue of understanding and designing public spaces is of significant importance, existing methods of data representation in VR are not extensively investigated. The present paper reports on research into the development of a computational model that evaluates and visualises information regarding permeability of the urban fabric in a virtual environment. Primary aim is to create an additional layer for early design stages that will assist in projecting all information in VR space so that the user can explore and grasp through data the impact of each design step in an immersive, human scale. |
keywords |
Computational Design; Virtual reality development; Machine Learning; Urban Analytics; Visual perception |
series |
eCAADe |
email |
|
full text |
file.pdf (12,426,347 bytes) |
references |
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last changed |
2022/06/07 07:52 |
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