Knowledge-based approach for the 3D modeling of masonry structures. Jacquot, K., Messaoudi, T., & De Luca, L. In 2015 Digital Heritage, volume 2, pages 189–190, September, 2015. doi abstract bibtex In architectural heritage field, the control over metric data is fundamental. Indeed the interpretability of geometrical concepts, the criteria and methods to structure information are the first step for the analysis and simulation for the conservation of ancient buildings. The main barrier is to move from survey raw data to 3D models that are understandable. To overcome this issue a knowledge-based approach is developed to carry out a reverse engineering for digitised masonry structures.
@inproceedings{jacquot_knowledge-based_2015,
title = {Knowledge-based approach for the 3D modeling of masonry structures},
volume = {2},
doi = {10.1109/DigitalHeritage.2015.7419487},
abstract = {In architectural heritage field, the control over metric data is fundamental. Indeed the interpretability of geometrical concepts, the criteria and methods to structure information are the first step for the analysis and simulation for the conservation of ancient buildings. The main barrier is to move from survey raw data to 3D models that are understandable. To overcome this issue a knowledge-based approach is developed to carry out a reverse engineering for digitised masonry structures.},
booktitle = {2015 {Digital} {Heritage}},
author = {Jacquot, Kevin and Messaoudi, Tommy and De Luca, Livio},
month = sep,
year = {2015},
keywords = {3D masonry structure modeling, 3D semantic model, Buildings, Computational modeling, Computer architecture, Knowledge based systems, Semantics, Software, Solid modeling, Three-dimensional displays, ancient buildings, architectural heritage field, architectural knowledge, buildings (structures), data post-processing, digitised masonry structures, geometrical concept interpretability, history, knowledge-based approach, masonry structure, metric data, reverse engineering, reverse-engineering, solid modelling, structural engineering computing, structure information, survey raw data},
pages = {189--190}
}
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