The ability to reason about the structure and the style of a monument is therefore of great importance to cultural heritage experts, as it can assist them in analysing and cataloguing it. This framework is composed of a neural network that can segment monuments into architectural components, a neural network that can detect the style of a monument and a shape grammar extraction and comparison method.
A dataset of annotated historical monuments in 2D/3D form.
ANN for distinguishing monument’s architectural components and architectural style
A method for extracting the design rules of a monument in the form of a shape grammar.
A software for analysing historical monuments.
Visual Computing Group MRG leader - CYENS Research associate - University of Cyprus
Assistant Professor - The Cyprus Institute
Associate Professor - University of Massachusetts Amherst
Associate Professor - Universitat de Girona
Machine Learning Developer - University of Cyprus
Software Developer - University of Cyprus
Machine Learning Developer - University of Cyprus
Architectural Visualization Research Assistant - The Cyprus Institute
