Kampani, A;
Varoudis, T;
(2020)
Perceptive Machine: Visuospatial Configurations Through Machine Intuition.
In:
Making Through Code – Built by Data and the Architectural Illustration.
(pp. pp. 419-428).
Education and research in Computer Aided Architectural Design in Europe (eCAADe)
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Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | Perceptive Machine: Visuospatial Configurations Through Machine Intuition |
| Event: | eCAADe 2020 Online: Anthropologic – Architecture and Fabrication in the Cognitive Age |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://papers.cumincad.org/data/works/att/ecaade20... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Computational Design, Virtual reality development, Machine Learning, Urban Analytics, Visual perception |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Architecture |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10113052 |
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