Aesthetics as a Criterion: Navigating Solution Spaces Utilizing Computer Vision, the Aesthetic Measure, and Artificial Neural Networks

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023
Herausgeber/-innenMaria Julia Blas, Gonzalo Alvarez
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten496-507
Seitenumfang12
ISBN (elektronisch)9781713873280
PublikationsstatusVeröffentlicht - 2023
VeranstaltungAnnual Modeling and Simulation Conference, ANNSIM 2023 - Hamilton, Kanada
Dauer: 23 Mai 202326 Mai 2023

Abstract

A computational framework is proposed to quantify the aesthetic experience of perceiving architecture. This framework is used as the criterion for navigating a design solution space. A parametric model's solution space is represented as a set of computer-generated images. We utilize computer vision to recognize parts and the relations between parts and the whole. These values are inserted into an adaptation of Birkhoff's aesthetic measure formula, calibrated via crowdsourced hedonic response. An artificial neural network (ANN) model is trained to predict the hedonic response of images using (A) parts relations as inputs and (B) the average hedonic responses as target outputs. The prediction of the ANN is used as a fitness function for optimization. The same public evaluates the parametric model's output to compare the ANN model's effectiveness in predicting their response. The method is useful in translating formal qualities into quantities and navigating solution spaces, especially with surrogate models.

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Aesthetics as a Criterion: Navigating Solution Spaces Utilizing Computer Vision, the Aesthetic Measure, and Artificial Neural Networks. / Sardenberg, Victor; Becker, Mirco.
Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023. Hrsg. / Maria Julia Blas; Gonzalo Alvarez. Institute of Electrical and Electronics Engineers Inc., 2023. S. 496-507.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Sardenberg, V & Becker, M 2023, Aesthetics as a Criterion: Navigating Solution Spaces Utilizing Computer Vision, the Aesthetic Measure, and Artificial Neural Networks. in MJ Blas & G Alvarez (Hrsg.), Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023. Institute of Electrical and Electronics Engineers Inc., S. 496-507, Annual Modeling and Simulation Conference, ANNSIM 2023, Hamilton, Kanada, 23 Mai 2023.
Sardenberg, V., & Becker, M. (2023). Aesthetics as a Criterion: Navigating Solution Spaces Utilizing Computer Vision, the Aesthetic Measure, and Artificial Neural Networks. In M. J. Blas, & G. Alvarez (Hrsg.), Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023 (S. 496-507). Institute of Electrical and Electronics Engineers Inc..
Sardenberg V, Becker M. Aesthetics as a Criterion: Navigating Solution Spaces Utilizing Computer Vision, the Aesthetic Measure, and Artificial Neural Networks. in Blas MJ, Alvarez G, Hrsg., Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. S. 496-507
Sardenberg, Victor ; Becker, Mirco. / Aesthetics as a Criterion : Navigating Solution Spaces Utilizing Computer Vision, the Aesthetic Measure, and Artificial Neural Networks. Proceedings of the 2023 Annual Modeling and Simulation Conference, ANNSIM 2023. Hrsg. / Maria Julia Blas ; Gonzalo Alvarez. Institute of Electrical and Electronics Engineers Inc., 2023. S. 496-507
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