{"ID":2895399,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.09207","arxiv_id":"2507.09207","title":"Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2507.09207","url_pdf":"https://arxiv.org/pdf/2507.09207v1","authors":"[\"Alexander C. Ogren\",\"Berthy T. Feng\",\"Jihoon Ahn\",\"Katherine L. Bouman\",\"Chiara Daraio\"]","published":"2025-07-12T09:00:06Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false}