Visual Perception with Color for Architectural Aesthetics

Bittermann M. S., Ciftcioglu O.

IEEE Congress on Evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI), Vancouver, Canada, 24 - 29 July 2016, pp.3909-3916 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/cec.2016.7744285
  • City: Vancouver
  • Country: Canada
  • Page Numbers: pp.3909-3916
  • Keywords: visual perception, color difference, fuzzy neural tree, architectural design, genetic algorithm, Pareto front, ATTENTION, MODEL
  • Istanbul Technical University Affiliated: No

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.