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Variational fluid flow measurements from image sequences: synopsis and perspectives
Variational approaches to image motion segmentation has been an active field of study in
image processing and computer vision for two decades. We present a short overview over …
image processing and computer vision for two decades. We present a short overview over …
Optical flow modeling and computation: A survey
Optical flow estimation is one of the oldest and still most active research domains in
computer vision. In 35 years, many methodological concepts have been introduced and …
computer vision. In 35 years, many methodological concepts have been introduced and …
A survey of variational and CNN-based optical flow techniques
Dense motion estimations obtained from optical flow techniques play a significant role in
many image processing and computer vision tasks. Remarkable progress has been made in …
many image processing and computer vision tasks. Remarkable progress has been made in …
Fluid flow and optical flow
T Liu, L Shen - Journal of Fluid Mechanics, 2008 - cambridge.org
The connection between fluid flow and optical flow is explored in typical flow visualizations
to provide a rational foundation for application of the optical flow method to image-based …
to provide a rational foundation for application of the optical flow method to image-based …
Comparison between optical flow and cross-correlation methods for extraction of velocity fields from particle images
T Liu, A Merat, MHM Makhmalbaf, C Fajardo… - Experiments in …, 2015 - Springer
This paper presents direct comparisons between the physics-based optical flow and well-
established cross-correlation methods for extraction of velocity fields from particle images …
established cross-correlation methods for extraction of velocity fields from particle images …
Cloud motion and stability estimation for intra-hour solar forecasting
Techniques for estimating cloud motion and stability for intra-hour forecasting using a
ground-based sky imaging system are presented. A variational optical flow (VOF) technique …
ground-based sky imaging system are presented. A variational optical flow (VOF) technique …
Using Deep Learning to Nowcast the Spatial Coverage of Convection from Himawari-8 Satellite Data
R Lagerquist, JQ Stewart, I Ebert-Uphoff… - Monthly Weather …, 2021 - journals.ametsoc.org
Predicting the timing and location of thunderstorms (“convection”) allows for preventive
actions that can save both lives and property. We have applied U-nets, a deep-learning …
actions that can save both lives and property. We have applied U-nets, a deep-learning …
Generalization of deep recurrent optical flow estimation for particle-image velocimetry data
C Lagemann, K Lagemann, S Mukherjee… - Measurement …, 2022 - iopscience.iop.org
Particle-image velocimetry (PIV) is one of the key techniques in modern experimental fluid
mechanics to determine the velocity components of flow fields in a wide range of complex …
mechanics to determine the velocity components of flow fields in a wide range of complex …
OpenOpticalFlow: An open source program for extraction of velocity fields from flow visualization images
T Liu - Journal of Open Research Software, 2017 - … .openresearchsoftware.metajnl.com
This paper describes OpenOpticalFlow, an open source optical flow program in Matlab for
extraction of high-resolution velocity fields from various flow visualization images. This …
extraction of high-resolution velocity fields from various flow visualization images. This …