Visual Perception with Color for Architectural Aesthetics

Michael Bittermann; Ozer Ciftcioglu

doi:10.1109/CEC.2016.7744285

Visual Perception with Color for Architectural Aesthetics

Michael Bittermann, Ozer Ciftcioglu

Design Informatics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

248 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 language	English
Title of host publication	Proceedings 2016 IEEE Congress on Evolutionary Computation (CEC)
Publisher	IEEE
Pages	3909-3916
ISBN (Print)	978-1-5090-0622-9
DOIs	https://doi.org/10.1109/CEC.2016.7744285
Publication status	Published - 21 Nov 2016
Event	2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada Duration: 24 Jul 2016 → 29 Jul 2016

Conference

Conference	2016 IEEE Congress on Evolutionary Computation, CEC 2016
Abbreviated title	CEC 2016
Country/Territory	Canada
City	Vancouver
Period	24/07/16 → 29/07/16

Bibliographical note

Accepted Author Manuscript

Keywords

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

Access to Document

10.1109/CEC.2016.7744285

Visual Perception with Color for Architectural AestheticsAccepted author manuscript, 3.58 MB

Cite this

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title = "Visual Perception with Color for Architectural Aesthetics",

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 forapplications, where human-like visual perception and cognition are of concern. Examples of such applications are architectural design, product design, and urbanism.",

keywords = "Pareto front, visual perception, color difference, fuzzy neural tree, architectural design, genetic algorithm",

author = "Michael Bittermann and Ozer Ciftcioglu",

note = "Accepted Author Manuscript; 2016 IEEE Congress on Evolutionary Computation, CEC 2016, CEC 2016 ; Conference date: 24-07-2016 Through 29-07-2016",

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AB - 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 forapplications, where human-like visual perception and cognition are of concern. Examples of such applications are architectural design, product design, and urbanism.

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KW - visual perception

KW - color difference

KW - fuzzy neural tree

KW - architectural design

KW - genetic algorithm

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M3 - Conference contribution

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ER -

Visual Perception with Color for Architectural Aesthetics

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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