Through a Machine Lens: Case Studies of Computer Vision and Machine Learning in Design Methodology

Authors

DOI:

https://doi.org/10.31261/LC.2022.02.06

Keywords:

architecture, machine vision, artificial intelligence, design, methodology

Abstract

Machine vision (MV) and artificial intelligence (AI) offer strange new augmentations and transformations of how architects perceive and conceptualise both the creation of buildings and the analysis of existing architecture. Seeing through machinic eyes allows architects to amplify their intuitions and engage in a flood of digitally sensed imagery in more quantifiable and extensible ways. Through a series of case studies of projects developed through the design office Certain Measures, this article argues for the potential of machine vision and artificial intelligence in the creative practice of design while situating these new developments in the history of mathematical ways of seeing and conceptualising architecture. These case studies, across large and small scales, combine ideas from human and machine perception and mathematical geometry to create new architectural approaches.

References

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Published

2022-06-28

Issue

Section

Architecture