DOE OSTI · 2439304
Deep-learning optical flow for measuring velocity fields from experimental data
Abstract
Deep learning-based optical flow (DLOF) extracts features in video frames with deep convolutional neural networks to estimate the inter-frame motions of objects. DLOF computes velocity fields more accurately than PIV for densely labeled systems.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Tran, Phu N., Ray, Sattvic, Lemma, Linnea, Li, Yunrui, Sweeney, Reef, Baskaran, Aparna, Dogic, Zvonimir, Hong, Pengyu, Hagan, Michael F.. 2024-09-18. Deep-learning optical flow for measuring velocity fields from experimental data. https://doi.org/10.1039/d4sm00483c
Cite the original work for its findings. Save a collection to share your selection of sources.