Visual Perception with Color for Architectural Aesthetics

Conference paper (2016)

Authors

M.S. Bittermann Maltepe University
O. Ciftcioglu Design Informatics - Architecture and the Built Environment
Research Group
Design Informatics (Architecture and the Built Environment) (TU Delft)
Copyright: © 2016 M.S. Bittermann, O. Ciftcioglu
DOI
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https://doi.org/10.1109/CEC.2016.7744285
Genetic algorithm Architectural design Fuzzy neural tree Pareto front Visual perception Color difference
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Published Date

21-11-2016

Language

English

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Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

Design Informatics

Abstract

Studies on computer-based visual perception and aesthetical judgment for architectural design are presented. In the model, both color and the geometric aspects of human vision are jointly taken into account, quantifying the perception of an individual object, as well as a scene consisting of several objects. This is accomplished by fuzzy neural tree processing. Based on the perception model, aesthetical color compositions are identified for a scene using multi-objective evolutionary algorithm. The methodology is described together with associated computer experiments verifying the theoretical considerations. Modeling of aesthetical judgment is a significant step for
applications, where human-like visual perception and cognition are of concern. Examples of such applications are architectural design, product design, and urbanism.