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An Interdisciplinary Approach to the Seismic Assessment of Built Cultural Heritage: Case Studies in Lisbon and Outskirts Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Evaluation of Primitive Extraction Methods from Point Clouds of Cultural Heritage Buildings

Authors : Carlos Pérez-Sinticala, Romain Janvier, Xavier Brunetaud, Sylvie Treuillet, Rafael Aguilar, Benjamín Castañeda

Published in: Structural Analysis of Historical Constructions

Publisher: Springer International Publishing

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Abstract

This article focuses on the development of tools for automatic recognition and segmentation of the main geometrical characteristics of heritage buildings (walls, towers, roofs, slopes, etc.) to simplify a 3D point cloud into simpler model based on geometric primitives. After evaluation of well known techniques for point cloud segmentation, an hybrid method based on region growing algorithm and primitive fitting by Sample Consensus appears as the most successful. Then, a refinement process is applied by grouping close-by points into voxels and assigning them to the closest primitive. The final algorithm is tested in the front wall of the castle of Chambord, France showing a 94.40% coincidence between the geometric primitives found and manual ground truth. This algorithm might prove useful for obtaining simpler models of cultural heritage structures, which can be used for storage, manipulation and even other types of analysis such as finite element models.

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previous chapter The Lossetti Tower in Beura-Cardezza (Italy): Structural Assessment and Rehabilitation of a Historical Dry Stone Masonry Building
next chapter The Unique Baroque Carousel in Hanau, Germany – Renovation, Restauration and Rebuilding of Movement
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Metadata
Title
Evaluation of Primitive Extraction Methods from Point Clouds of Cultural Heritage Buildings
Authors
Carlos Pérez-Sinticala
Romain Janvier
Xavier Brunetaud
Sylvie Treuillet
Rafael Aguilar
Benjamín Castañeda
Copyright Year
2019
Publisher
Springer International Publishing
Book
Structural Analysis of Historical Constructions

Print ISBN: 978-3-319-99440-6

Electronic ISBN: 978-3-319-99441-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-99441-3_250