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.

Architectural Neural Networks

ANN for distinguishing monument’s architectural components and architectural style

Monument design

A method for extracting the design rules of a monument in the form of a shape grammar.

Monument analysis

A software for analysing historical monuments.


Meet our team

Melinos Averkiou

Visual Computing Group MRG leader - CYENS Research associate - University of Cyprus

Georgios Artopoulos

Assistant Professor - The Cyprus Institute

Evangelos Kalogerakis

Associate Professor - University of Massachusetts Amherst

Gustavo Patow

Associate Professor - Universitat de Girona

Yiorgos Chrysanthou

Research Director - CYENS Professor - University of Cyprus

Maria I. Maslioukova

Machine Learning Developer - University of Cyprus

Andreas C. Andreou

Software Developer - University of Cyprus

Christina Zavou

Machine Learning Developer - University of Cyprus

Marissia Deligiorgi

Architectural Visualization Research Assistant - The Cyprus Institute

Ruben Martinez

Software Developer - Universitat de Girona