This paper aims to present how hitherto existing aesthetic measure approaches could be enriched by contemporary perception models, which would be useful in computer aided design of architecture. Proposed measure allows designers for collaborative decision making to find an average aesthetic value.
CITATION STYLE
Mars, A., & Grabska, E. (2015). Towards an implementable aesthetic measure for collaborative architecture design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9320, pp. 72–75). Springer Verlag. https://doi.org/10.1007/978-3-319-24132-6_9
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