April 30, 2024, 4:46 a.m. | Zitong Zhang, Yang Liu, Hao Sun

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.17865v1 Announce Type: new
Abstract: Data-driven discovery of governing equations has kindled significant interests in many science and engineering areas. Existing studies primarily focus on uncovering equations that govern nonlinear dynamics based on direct measurement of the system states (e.g., trajectories). Limited efforts have been placed on distilling governing laws of dynamics directly from videos for moving targets in a 3D space. To this end, we propose a vision-based approach to automatically uncover governing equations of nonlinear dynamics for 3D …

abstract arxiv cs.ai cs.cv data data-driven discovery dynamics engineering focus laws measurement moving nlin.cd science studies type vision

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