Abstract
Abstract. This paper presents a part from one broader research project on ribbed vaults. The main goal is to generate a parametric objects library for ribbed vaults, suitable both for HBIM system, for structural analysis or for Cultural Heritage dissemination. Starting from Treatises study we have analyzed different classification system and different terminology used for ribbed vaults components in different languages, especially in English, French, Spanish and Italian, our aim is to improve a multilingual vocabularies. In our research we have defined an experimental workflow to generate a set of ribbed vaults library based on the geometric rules from treatises and a controlled vocabulary, the comparison of these 3D models with point clouds allows us to identify the rule used or to define a new rule and, therefore, to build complex parametric models based on reality-based surveys. We are improving our parametric model using different geometric rules from Spanish, French and English manuals. We can generate the realty based model using the same parametric model, in this case the input data is the ribs geometry extracted from the point cloud. We use a generative tool to analyze the curves from point cloud and to draw the borders. We are going to test our tool on some case studies for historical architectural elements indexing, for geometries reconstruction in HBIM environment and for point cloud segmentation in DL process.
Highlights
Parametric objects library of historical architectural elements is a very important step in more than one process, starting from segmentation of 3D Point Clouds with Deep Learning (DL) techniques to 3D modeling from Point Cloud
In our research we have developed two different parametric models: one is based on geometric rules from Treatises and the other is based on the real ribs geometry
A tool was developed for procedural modelling and\or point cloud labeling
Summary
Parametric objects library of historical architectural elements is a very important step in more than one process, starting from segmentation of 3D Point Clouds with Deep Learning (DL) techniques to 3D modeling from Point Cloud. In our research we have defined an experimental workflow with the aim of generating a set of ribbed vaults library based on the geometric rules from treatises and a controlled vocabulary. The comparison of these 3D models with point clouds allows us to identify the rule used or to define a new rule and, to build complex parametric models based on reality-based surveys. Algorithm for ribbed vaults generation based on different geometric rules (ideal model definition); 4.
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