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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2013_080
authors Koh, Immanuel
year 2013
title Computer Vision and Augmented Reality Technologies in Experimental Architectural Design Education at the AA
doi https://doi.org/10.52842/conf.caadria.2013.427
source Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 427-436
wos WOS:000351496100042
summary This paper aims to investigate the potential of both open source software and new media (esp. computer vision and augmented reality) as tools for architectural design and education. The examples illustrated in the paper would be drawn mainly from students’ projects done as part of their AA Media Studies Course submission at the AA School of Architecture (AA) during the academic years from 2011/2012 to 2012/2013. The paper outlines the main approaches, which students have chosen to implement, both directly and indirectly, these new media and tools into their studio work at the AA. Section 1 briefly introduces a range of currently available open source computational design toolkits that are deemed useful for quick implementation of computer vision and augmented reality technologies. The related programming languages, softwares and hardwares would also be introduced and described accordingly. Sections 2 and 3 are accompanied with a visual catalogue of students’ projects to better illustrate the diversity in the understanding and implementation of computer vision and augmented reality technologies in architectural design. Section 4 serves to conclude the paper by first discussing briefly the feedback from students at the end of the course before clarifying the context of the research and thus its relation to recent work done by others using similar technologies.  
keywords Computer vision, Augmented reality, Generative design, Interaction design 
series CAADRIA
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