Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves
Computer Vision and Pattern Recognition
2025-07-15 v1
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.
Cite
@article{arxiv.2507.09207,
title = {Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves},
author = {Alexander C. Ogren and Berthy T. Feng and Jihoon Ahn and Katherine L. Bouman and Chiara Daraio},
journal= {arXiv preprint arXiv:2507.09207},
year = {2025}
}
Comments
ICCV 2025