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Semi-automatic Segmentation and Modelling from Point Clouds towards Historical Building Information Modelling

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Book cover Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection (EuroMed 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8740))

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Abstract

This paper presents a semi-automatic approach for creating a 3D model from point clouds. The proposed approach consists in the development of two successive algorithms. First, the segmentation of the point cloud in geometric primitives is made based on RANSAC paradigm. Then, in a modelling step, the geometric primitives are used for either surface modelling or boundaries extraction and more particularly sectional view extraction. Regarding the results analysis, the developed approach is promising despite some limitations. Not only the limitations, but also potential improvements of our processing chain are discussed. Finally, a bridge towards HBIM is considered.

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Macher, H., Landes, T., Grussenmeyer, P., Alby, E. (2014). Semi-automatic Segmentation and Modelling from Point Clouds towards Historical Building Information Modelling. In: Ioannides, M., Magnenat-Thalmann, N., Fink, E., Žarnić, R., Yen, AY., Quak, E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2014. Lecture Notes in Computer Science, vol 8740. Springer, Cham. https://doi.org/10.1007/978-3-319-13695-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-13695-0_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13694-3

  • Online ISBN: 978-3-319-13695-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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