CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id caadria2016_621
authors Lee, Ji Ho and Ji-Hyun Lee
year 2016
title Cultural Difference in Colour Usages for Building Exteriors Focusing on Theme Park Buildings
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 621-630
summary The notion of globalisation has become widely spread in various fields, and accordingly, it is increasingly more important to take account of indigenous culture characteristics in each field. An as- pect of achieving globalisation, globalization with local consideration, is to consider the difference of colour usage between distinct cultures. This study suggests an approach to investigate the colour difference between eastern and western cultures with the case analysis of build- ing fac?ade colours in Disneyland Paris and Tokyo Disneyland. We an- alysed cultural colour usage characteristics and derived tendencies for both Paris and Tokyo Disneyland building fac?ade colours. To do this, we use image based k-means clustering algorithm and CIELAB colour space distances to explore colour characteristics. Our analysis indi- cates an overall colour usage tendency that Paris uses more green and bluish colours and Tokyo uses more red and yellowish colours for building fac?ades, based on CIELAB colour space values. The major motivation of this paper was to reflect the atmosphere and the mood of the space that can be easily felt but not readily expressible into a cultural colour palette. Eventually, by finding the characteristics of perceived colours, we hope to create a colour recommendation system for different cultures based on cultural clues.
keywords Culture; colour usage; colour clustering; building fac?ade; computational approach
series CAADRIA
email jleeh@kaist.ac.kr
full text file.pdf (16,275,360 bytes)
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