Visual perception with color for architectural aesthetics

Michael S. Bittermann; Ozer Ciftcioglu

doi:10.1109/CEC.2016.7744285

Visual perception with color for architectural aesthetics

Michael S. Bittermann, Ozer Ciftcioglu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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	2016 IEEE Congress on Evolutionary Computation, CEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3909-3916
Number of pages	8
ISBN (Electronic)	9781509006229
DOIs	https://doi.org/10.1109/CEC.2016.7744285
Publication status	Published - 14 Nov 2016
Externally published	Yes
Event	2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada Duration: 24 Jul 2016 → 29 Jul 2016

Publication series

Name	2016 IEEE Congress on Evolutionary Computation, CEC 2016

Conference

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

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Architectural design
Color difference
Fuzzy neural tree
Genetic algorithm
Pareto front
Visual perception

Access to Document

10.1109/CEC.2016.7744285

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

keywords = "Architectural design, Color difference, Fuzzy neural tree, Genetic algorithm, Pareto front, Visual perception",

author = "Bittermann, {Michael S.} and Ozer Ciftcioglu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Congress on Evolutionary Computation, CEC 2016 ; Conference date: 24-07-2016 Through 29-07-2016",

year = "2016",

month = nov,

day = "14",

doi = "10.1109/CEC.2016.7744285",

language = "English",

series = "2016 IEEE Congress on Evolutionary Computation, CEC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2016 IEEE Congress on Evolutionary Computation, CEC 2016",

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}

Bittermann, MS & Ciftcioglu, O 2016, Visual perception with color for architectural aesthetics. in 2016 IEEE Congress on Evolutionary Computation, CEC 2016., 7744285, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 3909-3916, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, Canada, 24/07/16. https://doi.org/10.1109/CEC.2016.7744285

Visual perception with color for architectural aesthetics. / Bittermann, Michael S.; Ciftcioglu, Ozer.
2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3909-3916 7744285 (2016 IEEE Congress on Evolutionary Computation, CEC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ciftcioglu, Ozer

PY - 2016/11/14

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N2 - 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.

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 for applications, 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 - Color difference

KW - Fuzzy neural tree

KW - Genetic algorithm

KW - Pareto front

KW - Visual perception

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Congress on Evolutionary Computation, CEC 2016

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ER -

Visual perception with color for architectural aesthetics

Abstract

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Bibliographical note

Keywords

Access to Document

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Cite this