Abstract

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Outdoor museums of archaeological excavations function as sites of both scientific research and public display. Often, long-term archaeological research means postponing the preparation of the site for visitors. This paper focuses on digital tools for the representation of architectural reconstructions, i.e. possibilities for representing a range of hypotheses regarding the past ambiances of the ancient city. It proposes an augmented immersive revisit of the cultural heritage through mobile devices. Based on mobile phones’ current technical capacities, which enables rendering of 3D content combined with camera input, we developed the proposed mobile AR application for mobile Android devices. TeosAR offers a real-time, in-situ 3D depiction and visualization of architectural artifacts of the ancient city implementing model-based tracking methods.

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A technique for architectural massing studies in Mixed Reality (MR) is described. Generative Adversarial Networks let an object appear to have a different material than it actually has. The benefits during design are twofold. From one side the congruence between shape and material are subject to verification in real-time. From the other side, the designer is liberated from the usual restrictions and biases as to shape that are inevitable due to the mechanical properties of a mock-up. This is referred to as artificial intelligence assisted MR (AI-A MR) in this work. The technique consists of two steps: based on preparing synthetic data in Rhino/Grasshopper to be trained with an image-toimage translation model and implemented to the trained model in MR design environment. Next to the practical merits, a contribution of the work with respect to MR methodology is that it exemplifies the solution of some persistent tracking and registration problems.