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.


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