Image based 3D Reconstruction in Cultural Heritage Preservation

Alessandro Cefalu, Mohammed Abdel-Wahab, Michael Peter, Konrad Wenzel, Dieter Fritsch

2013

Abstract

Documentation of the current state of an object is often the first crucial step in cultural heritage preservation. Especially for large scale objects as buildings this task becomes complex and time consuming. Hence, there is a growing interest in new, more efficient techniques, which ease the process and reduce the financial impact of surveying actions. In case of façade restoration, experts need to map damages and plan the corresponding measures, before the actual restoration can take place. Here, two-dimensional CAD drawings, depicting each single stone, serve as a basis. Traditionally these plans are derived from classical surveying. Often a photogrammetric approach is chosen to reduce the efforts on site. But still image processing, including image registration and point measurements, is carried out punctually and manually. Since about three years, our institute supports the introduction of modern image processing tool chains to the application field of heritage preservation. Recently we participated in the restoration of the tower facades of the St. Martin dome in Rottenburg/Neckar, Germany. We combined laser scans, terrestrial imagery and images captured from a UAV platform, incorporating structure-from-motion, dense image matching, point cloud registration and production of orthographic projections, from which the CAD drawings could be derived.

References

  1. Abdel-Wahab, M., Wenzel, K., Fritsch, D., 2012. Automated and Accurate Orientation of Large Unordered Image Datasets for Close-Range Cultural Heritage Data Recording. Photogrammetrie - Fernerkundung - Geoinformation (PFG),Vol. 6, 2012, pp. 679-690.
  2. Crandall, D., Owens, A., Snavely, N., Huttenlocher, D., 2011. Discrete-Continuous Optimization for LargeScale Structure from Motion, In Proceedings Conference on Computer Vision and Pattern Recognition (CVPR). Colorado Springs.
  3. Rothermel, M., Wenzel, K., Fritsch, D., Haala, N., 2012. SURE: Photogrammetric Surface Reconstruction from Imagery. In Proceedings LC3D Workshop. Berlin.
  4. Wu, C., Agarwal, S., Curless, B., Seitz, S. M., 2011. Multicore Bundle Adjustment. In Proceedings Conference on Computer Vision and Pattern Recognition (CVPR). Colorado Springs.
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Paper Citation


in Harvard Style

Cefalu A., Abdel-Wahab M., Peter M., Wenzel K. and Fritsch D. (2013). Image based 3D Reconstruction in Cultural Heritage Preservation . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 201-205. DOI: 10.5220/0004475302010205


in Bibtex Style

@conference{icinco13,
author={Alessandro Cefalu and Mohammed Abdel-Wahab and Michael Peter and Konrad Wenzel and Dieter Fritsch},
title={Image based 3D Reconstruction in Cultural Heritage Preservation},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2013},
pages={201-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004475302010205},
isbn={978-989-8565-70-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Image based 3D Reconstruction in Cultural Heritage Preservation
SN - 978-989-8565-70-9
AU - Cefalu A.
AU - Abdel-Wahab M.
AU - Peter M.
AU - Wenzel K.
AU - Fritsch D.
PY - 2013
SP - 201
EP - 205
DO - 10.5220/0004475302010205