DoctorateOpen Access

Augmented reality applications of destroyed cultural heritage use of artificial neural networks in data collection phase: Trabzon example

2024
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Advisor: Doç. Dr. Süleyman Özgen

Abstract (EN)

The use of current technologies in transferring cultural heritage future is increasing day by day. Technological developments, virtual applications are used in the preservation of historical buildings and studies are carried out to present cultural heritage in an augmented reality. Reviving historical artifacts, especially those that have been destroyed or most of them are in ruins, possible with virtual reconstruction applications. The hypothesis of the study is that in some augmented reality applications aimed at vanishing cultural heritage, studies that are left to the discretion of the practitioner due to the inadequacy in reliable data of the original architecture and are not based on accurate documents are considered unsuccessful studies. The aim study is to create a usable and applicable system with artificial neural network technology to ensure architectural originality in augmented reality applications of destroyed historical buildings with no or missing concrete data. Subject of the study, the use of artificial neural network (ANN) technology was chosen as the method in the study, based on producing unknown or questionable data about the destroyed structure with high accuracy, accordance with the typology destroyed historical building and with the little data obtained from the buildings existing today. Result, it is envisaged that ANN technology development of historical awareness, preservation of cultural heritage and digital documentation as an alternative method for the reconstruction of the original textures of destroyed historical buildings in the urban memory in the virtual environment.

Author

Dr. İbrahim Aktürk

How to Cite

İbrahim Aktürk (Doctorate thesis). Augmented reality applications of destroyed cultural heritage use of artificial neural networks in data collection phase: Trabzon example, 2024, Karadeniz Technical University.

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