Visual Perception with Color for Architectural Aesthetics

Michael Bittermann, Ozer Ciftcioglu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)
140 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings 2016 IEEE Congress on Evolutionary Computation (CEC)
PublisherIEEE
Pages3909-3916
ISBN (Print)978-1-5090-0622-9
DOIs
Publication statusPublished - 21 Nov 2016
Event2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016

Conference

Conference2016 IEEE Congress on Evolutionary Computation, CEC 2016
Abbreviated titleCEC 2016
CountryCanada
CityVancouver
Period24/07/1629/07/16

Keywords

  • Pareto front
  • visual perception
  • color difference
  • fuzzy neural tree
  • architectural design
  • genetic algorithm

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