Paper
17 March 2015 3D puzzle reconstruction for archeological fragments
F. Jampy, A. Hostein, E. Fauvet, O. Laligant, F. Truchetet
Author Affiliations +
Proceedings Volume 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015; 939308 (2015) https://doi.org/10.1117/12.2075655
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
The reconstruction of broken artifacts is a common task in archeology domain; it can be supported now by 3D data acquisition device and computer processing. Many works have been dedicated in the past to reconstructing 2D puzzles but very few propose a true 3D approach. We present here a complete solution including a dedicated transportable 3D acquisition set-up and a virtual tool with a graphic interface allowing the archeologists to manipulate the fragments and to, interactively, reconstruct the puzzle. The whole lateral part is acquired by rotating the fragment around an axis chosen within a light sheet thanks to a step-motor synchronized with the camera frame clock. Another camera provides a top view of the fragment under scanning. A scanning accuracy of 100μm is attained. The iterative automatic processing algorithm is based on segmentation into facets of the lateral part of the fragments followed by a 3D matching providing the user with a ranked short list of possible assemblies. The device has been applied to the reconstruction of a set of 1200 fragments from broken tablets supporting a Latin inscription dating from the first century AD.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Jampy, A. Hostein, E. Fauvet, O. Laligant, and F. Truchetet "3D puzzle reconstruction for archeological fragments", Proc. SPIE 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015, 939308 (17 March 2015); https://doi.org/10.1117/12.2075655
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Cited by 5 scholarly publications.
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KEYWORDS
3D acquisition

3D image processing

Cameras

Calibration

Visibility

Image processing

Clouds

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