Design Analysis and Generation of Islamic Patterns Using Artificial Intelligence
- Resource Type
- Conference
- Authors
- Lahcen, Yassine Ait; El Gourari, Abdelali; Elbachari, Essaid; Eddine Benatia, Mohamed Jamal
- Source
- 2024 International Conference on Global Aeronautical Engineering and Satellite Technology (GAST) Global Aeronautical Engineering and Satellite Technology (GAST), 2024 International Conference on. :1-6 Apr, 2024
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Satellites
Art
Shape
Prototypes
Graph theory
Grammar
Artificial intelligence
Islamic patterns
Artificial Intelligence
Mathematics computing
parametric shape grammar (PSGs)
Generative Adversarial Networks (GANs)
- Language
The paper aims to introduce a modeling methodology for the automated generation of novel Islamic geometric patterns using artificial intelligence tools. The main contribution is to propose a novel strategy leveraging both parametric shape grammar and graph theory to generate new dataset of Islamic arts motifs. The dataset produced will serve as input for our proposed artificial intelligence algorithm aimed at addressing the modeling problem it generates. To achieve this purpose, we should define rules to create original and new Islamic motifs using parametric shape grammar, and to evaluate our model, we build new forms using our proposed method.