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Authors
Advisor(s)
Abstract(s)
Este trabalho tem por objetivo a criação de um software gerador de imagens utilizando Inteligência Artificial. O output esperado desta aplicação será um módulo inspirado nos padrões da azulejaria portuguesa. Para isso, será criado um conjunto de dados a partir de fotografias captadas da superfície das casas e edifícios portugueses. Esta informação será formatada e utilizada para treinar um algoritmo de inteligência artificial. Para chegar ao resultado, este projeto passa por uma explicação sobre o design de superfície, conceituando-o.
Descreve a azulejaria portuguesa como fator de identidade do povo português e representante cultural de identidade, bem como seus padrões de estrutura e forma de arte.
Por fim, destaca a inteligência artificial, com foco em redes neurais, suas técnicas de processamento, estruturas e algoritmos. Ressalta a importância do aprendizado de máquina e faz uma explicação sobre as redes adversárias generativas, técnica utilizada para a realização deste projeto. Na metodologia está descrito as etapas executadas para a criação do dataset e os passos necessários para o desenvolvimento da aplicação. A seguir é detalhado o desenvolvimento da aplicação e posteriormente uma apresentação dos resultados e análise, terminando com uma conclusão sobre o resultado gerado pelo software.
This work aims to create an image-generating software, using Artificial Inteligence. The expected output of this application will be a module inspired by the patterns of Portuguese tilework. To achieve this, a dataset will be created from photographs of the surfaces of Portuguese houses and buildings. This information will be formatted and used to train an artificial intelligence algorithm. To reach the desired result, the project includes an explanation of surface design, providing its conceptual framework. It describes Portuguese tilework as a marker of Portuguese identity, cultural and artistic representative, as well as its structural patterns and artistic form. Finally, it highlights artificial intelligence, focusing on neural networks, their processing techniques, structures, and algorithms. It emphasizes the importance of machine learning and provides an explanation of generative adversarial networks, the technique used in this project. The methodology outlines the steps carried out to create the dataset and the necessary procedures for the application’s development. Afterward, the development of the application is detailed, followed by a presentation of the results and analysis, concluding with a summary of the outcome generated by the software.
This work aims to create an image-generating software, using Artificial Inteligence. The expected output of this application will be a module inspired by the patterns of Portuguese tilework. To achieve this, a dataset will be created from photographs of the surfaces of Portuguese houses and buildings. This information will be formatted and used to train an artificial intelligence algorithm. To reach the desired result, the project includes an explanation of surface design, providing its conceptual framework. It describes Portuguese tilework as a marker of Portuguese identity, cultural and artistic representative, as well as its structural patterns and artistic form. Finally, it highlights artificial intelligence, focusing on neural networks, their processing techniques, structures, and algorithms. It emphasizes the importance of machine learning and provides an explanation of generative adversarial networks, the technique used in this project. The methodology outlines the steps carried out to create the dataset and the necessary procedures for the application’s development. Afterward, the development of the application is detailed, followed by a presentation of the results and analysis, concluding with a summary of the outcome generated by the software.
Description
Trabalho de projeto
Keywords
Redes neurais artificiais Azulejo português Redes adversárias generativas Design de superfície Inteligência artificial Artificial neural network Portuguese tilework Generative adversarial networks Surface design Artificial intelligence
