Shui, W., Maddock, S.C. orcid.org/0000-0003-3179-0263, Heywood, P. et al. (4 more authors) (2016) Using Semi-automatic 3D Scene Reconstruction to Create a Digital Medieval Charnel Chapel. In: Proceedings of EG UK Theory and Practice of Computer Graphics. Computer Graphics and Visual Computing (CGVC), 15 – 16 September 2016, Bournemouth University, United Kingdom. The Eurographics Association ISBN 978-3-03868-022-2
Abstract
The use of a terrestrial laser scanner (TLS) has become a popular technique for the acquisition of 3D scenes in the fields of cultural heritage and archaeology. In this study, a semi-automatic reconstruction technique is presented to convert the point clouds that are produced, which often contain noise or are missing data, into a set of triangle meshes. The technique is applied to the reconstruction of a medieval charnel chapel. To reduce the computational complexity of reconstruction, the point cloud is first segmented into several components guided by the geometric structure of the scene. Landmarks are interactively marked on the point cloud and multiple cutting planes are created using the least squares method. Then, sampled point clouds for each component are meshed by ball-pivoting. In order to fill the large missing regions on the walls and ground plane, inserted triangle meshes are calculated on the basis of the convex hull of the projection points on the bounding plane. The iterative closest point (ICP) approach and local non-rigid registration methods are used to make the inserted triangle meshes and original model tightly match. Using these methods, we have reconstructed a digital model of the medieval charnel chapel, which not only serves to preserve a digital record of it, but also enables members of t he public to experience the space virtually.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Eurographics Association. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield) The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Nov 2016 11:40 |
Last Modified: | 27 Jul 2020 08:17 |
Published Version: | https://doi.org/10.2312/cgvc.20161301 |
Status: | Published |
Publisher: | The Eurographics Association |
Refereed: | Yes |
Identification Number: | 10.2312/cgvc.20161301 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:105194 |