Validation of a photogrammetric approach for the objective study of ancient bowed instruments
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866917622238412800 |
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| author | Beghin, Philémon Ceulemans, Anne-Emmanuelle Fisette, Paul Glineur, François |
| author_facet | Beghin, Philémon Ceulemans, Anne-Emmanuelle Fisette, Paul Glineur, François |
| contents | Some early violins have been reduced during their history to fit imposed morphological standards, while more recent ones have been built directly to these standards. We propose an objective photogrammetric approach to differentiate between a reduced and an unreduced instrument, whereby a three-dimensional mesh is studied geometrically by examining 2D slices. Our contribution is twofold. First, we validate the quality of the photogrammetric mesh through a comparison with reference images obtained by medical imaging, and conclude that a sub-millimetre accuracy is achieved. Then, we show how quantitative and qualitative features such as contour lines, channel of minima and a measure of asymmetry between the upper and lower surfaces of a violin can be automatically extracted from the validated photogrammetric meshes, allowing to successfully highlight differences between instruments. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2205_08745 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Validation of a photogrammetric approach for the objective study of ancient bowed instruments Beghin, Philémon Ceulemans, Anne-Emmanuelle Fisette, Paul Glineur, François Computer Vision and Pattern Recognition Some early violins have been reduced during their history to fit imposed morphological standards, while more recent ones have been built directly to these standards. We propose an objective photogrammetric approach to differentiate between a reduced and an unreduced instrument, whereby a three-dimensional mesh is studied geometrically by examining 2D slices. Our contribution is twofold. First, we validate the quality of the photogrammetric mesh through a comparison with reference images obtained by medical imaging, and conclude that a sub-millimetre accuracy is achieved. Then, we show how quantitative and qualitative features such as contour lines, channel of minima and a measure of asymmetry between the upper and lower surfaces of a violin can be automatically extracted from the validated photogrammetric meshes, allowing to successfully highlight differences between instruments. |
| title | Validation of a photogrammetric approach for the objective study of ancient bowed instruments |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2205.08745 |