Visual perception with color for architectural aesthetics
2016 IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, Kanada, 24 - 29 Temmuz 2016, ss.3909-3916, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/cec.2016.7744285
- Basıldığı Şehir: Vancouver
- Basıldığı Ülke: Kanada
- Sayfa Sayıları: ss.3909-3916
- Anahtar Kelimeler: Architectural design, Color difference, Fuzzy neural tree, Genetic algorithm, Pareto front, Visual perception
- Maltepe Üniversitesi Adresli: Hayır
Özet
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.