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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.09207 |
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| _version_ | 1866908447740526592 |
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| author | Ogren, Alexander C. Feng, Berthy T. Ahn, Jihoon Bouman, Katherine L. Daraio, Chiara |
| author_facet | Ogren, Alexander C. Feng, Berthy T. Ahn, Jihoon Bouman, Katherine L. Daraio, Chiara |
| contents | Wave propagation on the surface of a material contains information about physical properties beneath its surface. We propose a method for inferring the thickness and stiffness of a structure from just a video of waves on its surface. Our method works by extracting a dispersion relation from the video and then solving a physics-based optimization problem to find the best-fitting thickness and stiffness parameters. We validate our method on both simulated and real data, in both cases showing strong agreement with ground-truth measurements. Our technique provides a proof-of-concept for at-home health monitoring of medically-informative tissue properties, and it is further applicable to fields such as human-computer interaction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_09207 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves Ogren, Alexander C. Feng, Berthy T. Ahn, Jihoon Bouman, Katherine L. Daraio, Chiara Computer Vision and Pattern Recognition Wave propagation on the surface of a material contains information about physical properties beneath its surface. We propose a method for inferring the thickness and stiffness of a structure from just a video of waves on its surface. Our method works by extracting a dispersion relation from the video and then solving a physics-based optimization problem to find the best-fitting thickness and stiffness parameters. We validate our method on both simulated and real data, in both cases showing strong agreement with ground-truth measurements. Our technique provides a proof-of-concept for at-home health monitoring of medically-informative tissue properties, and it is further applicable to fields such as human-computer interaction. |
| title | Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2507.09207 |