Paper
23 July 2007 3D acquisition and modeling for flint artefacts analysis
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Abstract
In this paper, we are interested in accurate acquisition and modeling of flint artefacts. Archaeologists needs accurate geometry measurements to refine their understanding of the flint artefacts manufacturing process. Current techniques require several operations. First, a copy of a flint artefact is reproduced. The copy is then sliced. A picture is taken for each slice. Eventually, geometric information is manually determined from the pictures. Such a technique is very time consuming, and the processing applied to the original, as well as the reproduced object, induces several measurement errors (prototyping approximations, slicing, image acquisition, and measurement). By using 3D scanners, we significantly reduce the number of operations related to data acquisition and completely suppress the prototyping step to obtain an accurate 3D model. The 3D models are segmented into sliced parts that are then analyzed. Each slice is then automatically fitted by mathematical representation. Such a representation offers several interesting properties: geometric features can be characterized (e.g. shapes, curvature, sharp edges, etc), and a shape of the original piece of stone can be extrapolated. The contributions of this paper are an acquisition technique using 3D scanners that strongly reduces human intervention, acquisition time and measurement errors, and the representation of flint artefacts as mathematical 2D sections that enable accurate analysis.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Loriot, Y. Fougerolle, C. Sestier, and R. Seulin "3D acquisition and modeling for flint artefacts analysis", Proc. SPIE 6618, O3A: Optics for Arts, Architecture, and Archaeology, 66180G (23 July 2007); https://doi.org/10.1117/12.726149
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Cited by 4 scholarly publications.
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KEYWORDS
3D modeling

3D acquisition

3D scanning

Mathematical modeling

Error analysis

3D metrology

Edge detection

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