18.6.4 Fluid Flow, Fluid Motion, Visualization for Flow, Fluids

Adrian, R.J.[Ronald J.],
Scattering particle characteristics and their effect on pulsed laser measurements of fluid flow: speckle velocimetry vs particle image velocimetry,
AppOpt(23), No. 11, June 1, 1984, pp.1690-1691. BibRef 8406

Englert, S.E.[Sue Ellen], Sheng, Z.X.[Zhao-Xin], Kirlin, R.L.[R. Lynn],
The evaluation of a crosscorrelation pattern recognition technique for flow visualization,
PR(23), No. 3-4, 1990, pp. 237-243.
Elsevier DOI 0401
Fluid flow about a cylinder. BibRef

Villasenor, J.[John], Vincent, A.[Alain],
An Algorithm for Space Recognition and Time Tracking of Vorticity Tubes in Turbulence,
CVGIP(55), No. 1, January 1992, pp. 27-35.
Elsevier DOI BibRef 9201

Zhong, J.L., Huang, T.S., Adrian, R.J.,
Extracting 3D Vortices in Turbulent Fluid-Flow,
PAMI(20), No. 2, February 1998, pp. 193-199.
IEEE DOI 9803
Segment the vector field. BibRef

Ford, R.M.[Ralph M.],
Critical-Point Detection in Fluid Flow Images Using Dynamical System Properties,
PR(30), No. 12, December 1997, pp. 1991-2000.
Elsevier DOI 9805
BibRef
Earlier:
Critical Point Detection in Fluid Flow Images,
ICIP97(II: 700-703).
IEEE DOI Critical points, fluid flow. BibRef

Ford, R.M., Strickland, R.N.,
Representing and Visualizing Fluid-Flow Images and Velocimetry Data by Nonlinear Dynamical-Systems,
GMIP(57), No. 6, November 1995, pp. 462-482. BibRef 9511

Ford, R.M., Strickland, R.N., Thomas, B.A.,
Image-Models for 2-D Flow Visualization and Compression,
GMIP(56), No. 1, January 1994, pp. 75-93. BibRef 9401

Nogawa, H., Nakajima, Y., Sato, Y., and Tamura, S.,
Acquisition of Symbolic Description from Flow-Fields: A New Approach Based on a Fluid Model,
PAMI(19), No. 1, January 1997, pp. 58-63.
IEEE DOI 9702
Interpret the flow field, i.e. it is a vortex. Much more general than the FoE. BibRef

Miike, H.[Hidetoshi], Zhang, L.[Lin], Sakurai, T.[Tatsunari], Yamada, H.[Hidemi],
Motion enhancement for preprocessing of optical flow detection and scientific visualization,
PRL(20), No. 5, May 1999, pp. 451-461. BibRef 9905

Wildes, R.P.[Richard P.], Amabile, M.J.[Michael J.], Lanzillotto, A.M.[Ann-Marie], Leu, T.S.[Tzong-Shyng],
Recovering Estimates of Fluid Flow from Image Sequence Data,
CVIU(80), No. 2, November 2000, pp. 246-266. 0012

DOI Link BibRef

Wildes, R.P., Amabile, M.J., Lanzillotto, A.M., Leu, T.S.,
Experiments with and Algorithm for Recovering Fluid Flow from Video Imagery,
DARPA97(185-192). BibRef 9700

Wildes, R.P., Amabile, M.J.,
Physically Based Fluid Flow Recovery from Image Sequences,
CVPR97(969-975).
IEEE DOI 9704
BibRef

Corpetti, T.[Thomas], Mémin, É.[Étienne], Pérez, P.[Patrick],
Dense Estimation of Fluid Flows,
PAMI(24), No. 3, March 2002, pp. 365-380.
IEEE DOI 0202

See also Energy-based Framework for Dense 3D Registration of Volumetric Brain Images, An.
See also Hierarchical Estimation and Segmentation of Dense Motion Fields. BibRef

Memin, E.[Etienne], Perez, P.[Patrick],
Dense/Parametric Estimation of Fluid Flows,
ICIP99(III:732-736).
IEEE Abstract. BibRef 9900

Corpetti, T.[Thomas], Mémin, E.[Etienne],
Stochastic Uncertainty Models for the Luminance Consistency Assumption,
IP(21), No. 2, February 2012, pp. 481-493.
IEEE DOI 1201
BibRef
Earlier:
Stochastic Models for Local Optical Flow Estimation,
SSVM11(701-712).
Springer DOI 1201
BibRef

Cuzol, A.[Anne], Hellier, P.[Pierre], Mémin, E.[Etienne],
A Low Dimensional Fluid Motion Estimator,
IJCV(75), No. 3, December 2007, pp. 329-349.
Springer DOI 0710
BibRef
Earlier: A1, A3, Only:
A Stochastic Filter for Fluid Motion Tracking,
ICCV05(I: 396-402).
IEEE DOI 0510
BibRef
Earlier: A1, A3, Only:
Vortex and Source Particles for Fluid Motion Estimation,
ScaleSpace05(254-266).
Springer DOI 0505
BibRef

Cuzol, A.[Anne], Mémin, E.[Etienne],
A Stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking,
PAMI(31), No. 7, July 2009, pp. 1278-1293.
IEEE DOI 0905
BibRef

Corpetti, T.[Thomas], Mémin, E.[Etienne], Pérez, P.[Patrick],
Extraction of Singular Points from Dense Motion Fields: An Analytic Approach,
JMIV(19), No. 3, November 2003, pp. 175-198.
DOI Link 0310
BibRef
Earlier:
Dense Motion Analysis in Fluid Imagery,
ECCV02(I: 676 ff.).
Springer DOI 0205
BibRef
Earlier:
Estimating Fluid Optical Flow,
ICPR00(Vol III: 1033-1036).
IEEE DOI 0009
BibRef

Gorthi, S.[Sai], Beyou, S.[Sébastien], Corpetti, T.[Thomas], Mémin, E.[Etienne],
Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation,
SSVM11(749-760).
Springer DOI 1201
BibRef

Papadakis, N.[Nicolas], Corpetti, T.[Thomas], Memin, E.[Etienne],
Dynamically consistent optical flow estimation,
ICCV07(1-7).
IEEE DOI 0710
BibRef

Nakajima, Y.[Yoshikazu], Inomata, H.[Hiroshi], Nogawa, H.[Hiroki], Sato, Y.[Yohshinobu], Tamura, S.[Shinichi], Okazaki, K.[Kozo], Torii, S.[Seiji],
Physics-based flow estimation of fluids,
PR(36), No. 5, May 2003, pp. 1203-1212.
Elsevier DOI 0301
Objects used as supplementary information. BibRef

Otero, J., Otero, A., Sanchez, L.,
3D motion estimation of bubbles of gas in fluid glass, using an optical flow gradient technique extended to a third dimension,
MVA(14), No. 3, July 2003, pp. 185-191.
WWW Link. 0308
BibRef

Cassidy, R.[Rachel], Morrow, P.J.[Philip J.], McCloskey, J.[John],
A machine vision system for quantifying velocity fields in complex rock models,
MVA(16), No. 6, 2006, pp. 343-355.
Springer DOI 0603
BibRef
Earlier: A1, A3, A2:
Estimating Fluid Flow Velocities: an Image Analysis Approach,
ICIP01(I: 285-288).
IEEE DOI 0108
Fluid flow in fractured rock. BibRef

Tianding, C.[Chen],
An affine-model-based technique for fast DPIV computation,
IVC(24), No. 5, 1 May 2006, pp. 407-410.
Elsevier DOI 0606
Flow visualization; Total optical flow computation; DPIV BibRef

Ma, J., Antoniadis, A., Le Dimet, F.X.,
Curvelet-Based Snake for Multiscale Detection and Tracking of Geophysical Fluids,
GeoRS(44), No. 12, December 2006, pp. 3626-3638.
IEEE DOI 0701
BibRef

Ma, J., Le Dimet, F.X.,
Deblurring from Highly Incomplete Measurements for Remote Sensing,
GeoRS(47), No. 3, March 2009, pp. 792-802.
IEEE DOI 0903
BibRef

Yuan, J.[Jing], Schnörr, C.[Christoph], Mémin, E.[Etienne],
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation,
JMIV(28), No. 1, May 2007, pp. 67-80.
Springer DOI 0710
BibRef
Earlier: A1, Plusauthor, A3, A2: Ruhnau, P.[Paul], ScaleSpace05(267-278).
Springer DOI 0505
BibRef

Yuan, J.[Jing], Schnörr, C.[Christoph], Steidl, G.[Gabriele],
Convex Hodge Decomposition and Regularization of Image Flows,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier: A1, A3, A2:
Convex Hodge Decomposition of Image Flows,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Papadakis, N.[Nicolas], Mémin, É.[Étienne],
A Variational Technique for Time Consistent Tracking of Curves and Motion,
JMIV(31), No. 1, May 2008, pp. xx-yy.
Springer DOI 0804
BibRef
Earlier:
Variational optimal control technique for the tracking of deformable objects,
ICCV07(1-7).
IEEE DOI 0710
BibRef
Earlier:
A Variational Framework for Spatio-temporal Smoothing of Fluid Motions,
SSVM07(603-615).
Springer DOI 0705
BibRef

Papadakis, N.[Nicolas], Memin, E.[Etienne],
Variational Assimilation Of Fluid Motion From Image Sequence,
SIIMS(1), No. 4, 2008, pp. 343-363. optimal control; dense motion estimation; fluid motion; data assimilation
DOI Link BibRef 0800

Marcello, J., Eugenio, F., Marques, F., Hernandez-Guerra, A., Gasull, A.,
Motion Estimation Techniques to Automatically Track Oceanographic Thermal Structures in Multisensor Image Sequences,
GeoRS(46), No. 9, September 2008, pp. 2743-2762.
IEEE DOI 0810
BibRef

Alvarez, L.[Luis], Castaño, C.[Carlos], García, M.A.[Miguel A.], Krissian, K.[Karl], Mazorra, L.[Luis], Salgado, A.[Agustín], Sánchez, J.[Javier],
A new energy-based method for 3D motion estimation of incompressible PIV flows,
CVIU(113), No. 7, July 2009, pp. 802-810.
Elsevier DOI 0905
BibRef
Earlier:
A Variational Approach for 3D Motion Estimation of Incompressible PIV Flows,
SSVM07(837-847).
Springer DOI 0705
Particle Image Velocimetry; Optical flow; Partial differential equation; Variational methods; Incompressible flows
See also Variational Approach to 3D Cylindrical Geometry Reconstruction from Multiple Views, A. BibRef

Fernandes, A.M.[Armando Manuel],
Study on the Automatic Recognition of Oceanic Eddies in Satellite Images by Ellipse Center Detection: The Iberian Coast Case,
GeoRS(47), No. 8, August 2009, pp. 2478-2491.
IEEE DOI 0907
BibRef
Earlier:
Identification of Oceanic Eddies in Satellite Images,
ISVC08(II: 65-74).
Springer DOI 0812
BibRef

Kamath, C.[Chandrika], Gezahegne, A.[Abel], Miller, P.L.[Paul L.],
Identification of Coherent Structures in Three-dimensional Simulations of a Fluid-Mix Problem,
IJIG(9), No. 3, July 2009, pp. 389-410.
DOI Link 0911
BibRef
Earlier: A1, A3, Only:
Image Analysis for Validation of Simulations of a Fluid Mix Problem,
ICIP07(III: 525-528).
IEEE DOI 0709
BibRef

Vlasenko, A.[Andrey], Schnörr, C.[Christoph],
Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates,
IP(19), No. 3, March 2010, pp. 586-595.
IEEE DOI 1003
BibRef
Earlier:
Physically Consistent Variational Denoising of Image Fluid Flow Estimates,
DAGM08(xx-yy).
Springer DOI 0806
BibRef
And:
Superresolution and Denoising of 3D Fluid Flow Estimates,
DAGM09(482-491).
Springer DOI 0909
BibRef

Ribas, F., Ojeda, E., Price, T.D., Guillen, J.,
Assessing the Suitability of Video Imaging for Studying the Dynamics of Nearshore Sandbars in Tideless Beaches,
GeoRS(48), No. 6, June 2010, pp. 2482-2497.
IEEE DOI 1006
BibRef

Xu, H.[Huaxun], Cheng, Z.Q.[Zhi-Quan], Martin, R.R.[Ralph R.], Li, S.[Sikun],
3D flow features visualization via fuzzy clustering,
VC(27), No. 6-8, June 2011, pp. 441-449.
WWW Link. 1107
BibRef

Ray, N.,
Computation of Fluid and Particle Motion From a Time-Sequenced Image Pair: A Global Outlier Identification Approach,
IP(20), No. 10, October 2011, pp. 2925-2936.
IEEE DOI 1110
BibRef

Yang, M.[Meng], Chen, W.J.[Wen-Juan],
Fluid simulation with adaptively sharpening and embedded boundary conditions,
VC(28), No. 5, May 2012, pp. 425-434.
WWW Link. 1204
BibRef

Yuan, Z.[Zhi], Zhao, Y.[Ye], Chen, F.[Fan],
Incorporating stochastic turbulence in particle-based fluid simulation,
VC(28), No. 5, May 2012, pp. 435-444.
WWW Link. 1204
BibRef

Howard, A., Naini, T.,
Four Methods for LIDAR Retrieval of Microscale Wind Fields,
RS(4), No. 8, August 2012, pp. 2329-2355.
DOI Link 1209
BibRef

Zhang, F.Q.[Feng-Quan], Shen, X.[Xukun], Long, X.[Xiang],
An Adaptive Model for Particle Fluid Surface Reconstruction,
IEICE(E96-D), No. 5, May 2013, pp. 1247-1250.
WWW Link. 1305
BibRef

Huang, R.[Ruoguan], Keyser, J.[John],
Automated sampling and control of gaseous simulations,
VC(29), No. 6-8, June 2013, pp. 751-760.
WWW Link. 1306
BibRef

Marmorino, G.O.[George O.], Smith, G.B.[Geoffrey B.], Miller, W.D.[W. David],
Surface Imprints of Water-Column Turbulence: A Case Study of Tidal Flow over an Estuarine Sill,
RS(5), No. 7, 2013, pp. 3239-3258.
DOI Link 1308
BibRef

de Lima, C.M.[Carlos Magno], Gonçalves, L.M.G.[Luiz M. G.], Bentes, C.[Cristiana], Farias, R.[Ricardo],
Using virtual reality and percolation theory to visualize fluid flow in porous media,
GeoInfo(17), No. 4, October 2013, pp. 521-541.
Springer DOI 1309
BibRef

Xu, Z.D.[Zhi-Da], Wang, X.H.[Xin-Hao], Han, K.[Kevin], Li, S.[Shuo], Liu, G.L.[G. Logan],
Elastomeric 2D grating and hemispherical optofluidic chamber for multifunctional fluidic sensing,
JOSA-A(30), No. 12, December 2013, pp. 2466-2472.
WWW Link. 1312
BibRef

Kim, S.T.[Sun-Tae], Hong, J.M.[Jeong-Mo],
Visual simulation of turbulent fluids using MLS interpolation profiles,
VC(29), No. 12, December 2013, pp. 1293-1302.
WWW Link. 1312
BibRef

Güdükbay, U.[Ugur], Bayraktar, S.[Serkan], Koca, Ç.[Çetin], Özgüç, B.[Bülent],
Particle-based simulation of the interaction between fluid and knitwear,
SIViP(8), No. 3, March 2014, pp. 415-422.
Springer DOI 1403
BibRef

Lii, S.Y.[Shing-Yeu], Wong, S.K.[Sai-Keung],
Ice melting simulation with water flow handling,
VC(30), No. 5, May 2014, pp. 531-538.
WWW Link. 1404
BibRef

Li, X.S.[Xiao-Sheng], Liu, L.[Le], Wu, W.[Wen], Liu, X.H.[Xue-Hui], Wu, E.[Enhua],
Dynamic BFECC Characteristic Mapping method for fluid simulations,
VC(30), No. 6-8, June 2014, pp. 787-796.
WWW Link. 1407
BibRef
And: Erratum: VC(30), No. 6-8, June 2014, pp. 963-966.
WWW Link. 1407
BibRef

Cheng, Y.H.[Yu-Hsin], Ho, C.R.[Chung-Ru], Zheng, Q.[Quanan], Kuo, N.J.[Nan-Jung],
Statistical Characteristics of Mesoscale Eddies in the North Pacific Derived from Satellite Altimetry,
RS(6), No. 6, 2014, pp. 5164-5183.
DOI Link 1407
BibRef

Arif, O., Sundaramoorthi, G., Hong, B.W.[Byung-Woo], Yezzi, A.J.,
Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints,
MedImg(33), No. 9, September 2014, pp. 1875-1889.
IEEE DOI 1410
biological fluid dynamics BibRef

Das, S., Biswas, S., Panigrahi, B.K., Kundu, S., Basu, D.,
A Spatially Informative Optic Flow Model of Bee Colony With Saccadic Flight Strategy for Global Optimization,
Cyber(44), No. 10, October 2014, pp. 1884-1897.
IEEE DOI 1410
optimisation BibRef

Sato, S.[Syuhei], Dobashi, Y.[Yoshinori], Yue, Y.H.[Yong-Hao], Iwasaki, K.[Kei], Nishita, T.[Tomoyuki],
Incompressibility-preserving deformation for fluid flows using vector potentials,
VC(31), No. 6-8, June 2015, pp. 959-965.
Springer DOI
WWW Link. 1506
BibRef

Rodríguez-Cerro, A.[Angel], García-Fernández, I.[Ignacio], Martínez-Durá, R.J.[Rafael J.], Pla-Castells, M.[Marta],
Texture advection on discontinuous flows,
VC(31), No. 6-8, June 2015, pp. 1033-1043.
Springer DOI 1506
used to visualize the dynamics of a flow on a triangle mesh. BibRef

van Eyndhoven, G., Batenburg, K.J., Kazantsev, D., van Nieuwenhove, V., Lee, P.D., Dobson, K.J., Sijbers, J.,
An Iterative CT Reconstruction Algorithm for Fast Fluid Flow Imaging,
IP(24), No. 11, November 2015, pp. 4446-4458.
IEEE DOI 1509
flow visualisation BibRef

Zhao, J.L.[Jian-Lin], Di, J.L.[Jiang-Lei],
Dynamic visualization of complex flow fields using digital holographic interferometry,
SPIE(Newsroom), August 6, 2015
DOI Link 1511
A new technique enables full-field, non-contact, and highly sensitive measurements. BibRef

Daniels, T., Smith, W.L., Kireev, S.,
Simulation of Airborne Radiometric Detection of Wake Vortices,
GeoRS(53), No. 12, December 2015, pp. 6336-6343.
IEEE DOI 1512
Fourier transform spectrometers BibRef

Takahashi, T.[Tetsuya], Dobashi, Y.[Yoshinori], Fujishiro, I.[Issei], Nishita, T.[Tomoyuki],
Volume preserving viscoelastic fluids with large deformations using position-based velocity corrections,
VC(32), No. 1, January 2016, pp. 57-66.
Springer DOI 1602
BibRef

Pickett, G.[George], Bradley, I.[Ian], Guénault, A.[Anthony], Haley, R.[Richard], Tsepelin, V.[Viktor],
Using a superfluid to image its own vortices,
SPIE(Newsroom), February 11, 2016
DOI Link 1602
The singly quantized vortices in superfluids can provide an atomic theory of turbulence (for which there is no general theory), enabling a video camera operating at ~100 microkelvin to image vortices. BibRef

Ren, B.[Bo], Yan, X.[Xiao], Yang, T.[Tao], Li, C.F.[Chen-Feng], Lin, M.C.[Ming C.], Hu, S.M.[Shi-Min],
Fast SPH simulation for gaseous fluids,
VC(32), No. 4, April 2016, pp. 523-534.
WWW Link. 1604
BibRef

Lim, J.G.[Jae-Gwang], Kim, B.J.[Bong-Jun], Hong, J.M.[Jeong-Mo],
Water simulation using a responsive surface tracking for flow-type changes,
VC(32), No. 5, May 2016, pp. 641-651.
WWW Link. 1605
BibRef

Gagnon, J.[Jonathan], Dagenais, F.[François], Paquette, E.[Eric],
Dynamic lapped texture for fluid simulations,
VC(32), No. 6-8, June 2016, pp. 901-909.
WWW Link. 1608
BibRef

Koch, S.[Stefan], Kasten, J.[Jens], Wiebel, A.[Alexander], Scheuermann, G.[Gerik], Hlawitschka, M.[Mario],
2D Vector field approximation using linear neighborhoods,
VC(32), No. 12, December 2016, pp. 1563-1578.
Springer DOI 1611
BibRef

Bardestani, S.[Sara], Givehchi, M.[Mohammad], Younesi, E.[Emran], Sajjadi, S.[Shahin], Shamshirband, S.[Shahaboddin], Petkovic, D.[Dalibor],
Predicting turbulent flow friction coefficient using ANFIS technique,
SIViP(11), No. 2, February 2017, pp. 341-347.
Springer DOI 1702

See also Expression of concern in SIVP. BibRef

Cetin, A.E.[A. Enis],
Expression of concern in SIVP,
SIViP(14), No. 2, March 2020, pp. 435.
Springer DOI 2003
Link to the noted article.
See also Predicting turbulent flow friction coefficient using ANFIS technique. BibRef

Zuo, Q.[Qing], Qi, Y.[Yue],
A novel spatial-temporal optical flow method for estimating the velocity fields of a fluid sequence,
VC(33), No. 3, March 2017, pp. 293-302.
WWW Link. 1702
BibRef

Quan, H.Y.[Hong-Yan], Wang, C.B.[Chang-Bo], Song, Y.H.[Ya-Hui],
Fluid re-simulation based on physically driven model from video,
VC(33), No. 1, January 2017, pp. 85-98.
WWW Link. 1702
BibRef

Wilson, J.[Justin], Sterling, A.[Auston], Rewkowski, N.[Nicholas], Lin, M.C.[Ming C.],
Glass half full: sound synthesis for fluid-structure coupling using added mass operator,
VC(33), No. 6-8, June 2017, pp. 1039-1048.
WWW Link. 1706
BibRef

Wang, F., Chen, W., Zhao, Y., Gu, T., Gao, S., Bao, H.,
Adaptively Exploring Population Mobility Patterns in Flow Visualization,
ITS(18), No. 8, August 2017, pp. 2250-2259.
IEEE DOI 1708
Base stations, Data visualization, Sociology, Statistics, Trajectory, Urban areas, Visualization, Population mobility pattern, cell phone data, flow visualization, visual, query BibRef

Cho, O.H.[Ok-Hue], Hong, S.D.[Sung-Dae],
Real-time 3D fluid simulation digital art using BCI,
RealTimeIP(13), No. 3, September 2017, pp. 419-429.
WWW Link. 1710
BibRef

Wu, W.[Wei], Li, H.P.[Hong-Ping], Su, T.Y.[Tian-Yun], Liu, H.X.[Hai-Xing], Lv, Z.H.[Zhi-Han],
GPU-accelerated SPH fluids surface reconstruction using two-level spatial uniform grids,
VC(33), No. 11, November 2017, pp. 1429-1442.
WWW Link. 1710
BibRef

Ristolainen, A., Kalev, K., Tuhtan, J.A., Kuusik, A., Kruusmaa, M.,
Hydromorphological Classification Using Synchronous Pressure and Inertial Sensing,
GeoRS(56), No. 6, June 2018, pp. 3222-3232.
IEEE DOI 1806
Arrays, Hydrodynamics, Pressure measurement, Pressure sensors, Rivers, Vibrations, Fluid flow measurements, water BibRef

Sun, W.J.[Wen-Jin], Dong, C.M.[Chang-Ming], Tan, W.[Wei], Liu, Y.[Yu], He, Y.J.[Yi-Jun], Wang, J.[Jun],
Vertical Structure Anomalies of Oceanic Eddies and Eddy-Induced Transports in the South China Sea,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Vigo, M.I.[María Isabel], García-García, D.[David], Sempere, M.D.[María Dolores], Chao, B.F.[Ben F.],
3D Geostrophy and Volume Transport in the Southern Ocean,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Oerder, V.[Vera], Bento, J.P.[Joaquim P.], Morales, C.E.[Carmen E.], Hormazabal, S.[Samuel], Pizarro, O.[Oscar],
Coastal Upwelling Front Detection off Central Chile (36.5-37°S) and Spatio-Temporal Variability of Frontal Characteristics,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Banakh, V.A.[Viktor A.], Smalikho, I.N.[Igor N.],
Lidar Studies of Wind Turbulence in the Stable Atmospheric Boundary Layer,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Banakh, V.A.[Viktor A.], Smalikho, I.N.[Igor N.],
Lidar Estimates of the Anisotropy of Wind Turbulence in a Stable Atmospheric Boundary Layer,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Si, W., Qin, J., Chen, Z., Liao, X., Wang, Q., Heng, P.,
Thin-Feature-Aware Transport-Velocity Formulation for SPH-Based Liquid Animation,
MultMed(20), No. 11, November 2018, pp. 3033-3044.
IEEE DOI 1810
Kernel, Numerical models, Computational modeling, Interpolation, Liquids, Mathematical model, Solid modeling, Fluid effect, SPH BibRef

Tauro, F.[Flavia], Tosi, F.[Fabio], Mattoccia, S.[Stefano], Toth, E.[Elena], Piscopia, R.[Rodolfo], Grimaldi, S.[Salvatore],
Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

ur Rahman, A.[Altaf], Sajid, M.[Muhammad], Gillani, S.O.[Syed Omer], Uddin, E.[Emad], Hassan, I.[Ibrahim],
Detection and tracking of bubbles in two-phase air water flow for non-convergent sinusoidal channel,
IET-IPR(13), No. 4, March 2019, pp. 692-697.
DOI Link 1903
BibRef

Cornelis, J.[Jens], Bender, J.[Jan], Gissler, C.[Christoph], Ihmsen, M.[Markus], Teschner, M.[Matthias],
An optimized source term formulation for incompressible SPH,
VC(35), No. 4, April 2019, pp. 579-590.
Springer DOI 1906
BibRef

Fang, Y.[Yu], Ai, B.[Bo], Fang, J.[Jing], Xin, W.[Wenpeng], Zhao, X.W.[Xiang-Wei], Lv, G.[Guannan],
Multi-Scale Flow Field Mapping Method Based on Real-Time Feature Streamlines,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Gao, Y.[Yang], Li, S.[Shuai], Qin, H.[Hong], Xu, Y.H.[Ying-Hao], Hao, A.[Aimin],
An efficient FLIP and shape matching coupled method for fluid-solid and two-phase fluid simulations,
VC(35), No. 12, December 2018, pp. 1741-1753.
WWW Link. 1912
BibRef

Strelnikova, D.[Dariia], Paulus, G.[Gernot], Käfer, S.[Sabine], Anders, K.H.[Karl-Heinrich], Mayr, P.[Peter], Mader, H.[Helmut], Scherling, U.[Ulf], Schneeberger, R.[Rudi],
Drone-Based Optical Measurements of Heterogeneous Surface Velocity Fields around Fish Passages at Hydropower Dams,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Lasinger, K.[Katrin], Vogel, C.[Christoph], Pock, T.[Thomas], Schindler, K.[Konrad],
3D Fluid Flow Estimation with Integrated Particle Reconstruction,
IJCV(128), No. 4, April 2020, pp. 1012-1027.
Springer DOI 2004
BibRef
Earlier: GCPR18(315-332).
Springer DOI 1905
Award, GCPR, HM. BibRef

Nie, X.Y.[Xiao-Ying], Hu, Y.[Yong], Shen, X.[Xukun],
Physics-preserving fluid reconstruction from monocular video coupling with SFS and SPH,
VC(36), No. 6, June 2020, pp. 1247-1257.
WWW Link. 2005
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Rumman, N.A.[Nadine Abu], Nair, P.[Prapanch], Müller, P.[Patric], Barthe, L.[Loïc], Vanderhaeghe, D.[David],
ISPH-PBD: Coupled Simulation of Incompressible Fluids and Deformable Bodies,
VC(36), No. 5, May 2020, pp. 893-910.
Springer DOI 2005
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Emerson, T.H.[Tegan H.], Nichols, J.M.[Jonathan M.],
Fitting local, low-dimensional parameterizations of optical turbulence modeled from optimal transport velocity vectors,
PRL(133), 2020, pp. 123-128.
Elsevier DOI 2005
Turbulence, Optimal transport, Velocity fields, Geometric optics BibRef

Sasso, S.F.D.[Silvano Fortunato Dal], Pizarro, A.[Alonso], Manfreda, S.[Salvatore],
Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Alimenti, F., Bonafoni, S., Gallo, E., Palazzi, V., Vincenti Gatti, R., Mezzanotte, P., Roselli, L., Zito, D., Barbetta, S., Corradini, C., Termini, D., Moramarco, T.,
Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor,
GeoRS(58), No. 7, July 2020, pp. 5195-5207.
IEEE DOI 2006
Rivers, Surface discharges, Velocity measurement, Doppler radar, Surface waves, Discharges (electric), Surface treatment, surface velocity radars (SVRs) BibRef

Tosi, F.[Fabio], Rocca, M.[Matteo], Aleotti, F.[Filippo], Poggi, M.[Matteo], Mattoccia, S.[Stefano], Tauro, F.[Flavia], Toth, E.[Elena], Grimaldi, S.[Salvatore],
Enabling Image-Based Streamflow Monitoring at the Edge,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
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Liu, W.C.[Wen-Cheng], Lu, C.H.[Chien-Hsing], Huang, W.C.[Wei-Che],
Large-Scale Particle Image Velocimetry to Measure Streamflow from Videos Recorded from Unmanned Aerial Vehicle and Fixed Imaging System,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Cohen, I.[Ido], Azencot, O.[Omri], Lifshits, P.[Pavel], Gilboa, G.[Guy],
Modes of Homogeneous Gradient Flows,
SIIMS(14), No. 3, 2021, pp. 913-945.
DOI Link 2108
modes, fluid dynmaics, learning. Latent structures. BibRef

Shi, Q.[Qingtong], Ai, B.[Bo], Wen, Y.[Yubo], Feng, W.J.[Wen-Jun], Yang, C.X.[Chen-Xi], Zhu, H.C.[Hong-Chun],
Particle System-Based Multi-Hierarchy Dynamic Visualization of Ocean Current Data,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
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Bussov, M.[Maarja], Nättilä, J.[Joonas],
Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning,
SP:IC(99), 2021, pp. 116450.
Elsevier DOI 2111
Plasma, Turbulence, Clustering analysis, Image segmentation, Unsupervised machine learning BibRef

She, M.K.[Meng-Kun], Weiß, T.[Tim], Song, Y.F.[Yi-Fan], Urban, P.[Peter], Greinert, J.[Jens], Köser, K.[Kevin],
Marine bubble flow quantification using wide-baseline stereo photogrammetry,
PandRS(190), 2022, pp. 322-341.
Elsevier DOI 2208
Gas bubbles, Gas flow rate quantification, Bubble stream characterization, Underwater vision, Silhouette-based calibration BibRef

Meng, J.X.[Jun-Xia], Yan, J.[Jun], Zhao, J.H.[Jian-Hu],
Bubble Plume Target Detection Method of Multibeam Water Column Images Based on Bags of Visual Word Features,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Moya, B.[Beatriz], Badías, A.[Alberto], González, D.[David], Chinesta, F.[Francisco], Cueto, E.[Elías],
Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency,
PAMI(45), No. 2, February 2023, pp. 2136-2150.
IEEE DOI 2301
Manifolds, Image reconstruction, Liquids, Deep learning, Heuristic algorithms, Thermodynamics, Real-time systems, sloshing BibRef

Chen, J.[Jun], Duan, H.[Hui], Song, Y.Y.X.[Yuan-Yan-Xin], Cai, Z.[Zemin], Yang, G.G.[Guang-Guang], Liu, T.S.[Tian-Shu],
Motion Estimation for Complex Fluid Flows Using Helmholtz Decomposition,
CirSysVideo(33), No. 5, May 2023, pp. 2129-2146.
IEEE DOI 2305
Optical imaging, Adaptive optics, Estimation, Optical design, Kernel, Optical vortices, Optical sensors, Optical flow estimation, adaptive guided filter BibRef

Chen, J.[Jun], Duan, H.[Hui], Song, Y.Y.X.[Yuan-Yan-Xin], Cai, Z.[Zemin], Yang, G.G.[Guang-Guang],
Optical Flow Computation for Video Under the Dynamic Illumination,
MultMed(25), 2023, pp. 6285-6300.
IEEE DOI 2311
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Ding, Y.Q.[Yu-Qi], Li, Z.[Zhong], Chen, Z.[Zhang], Ji, Y.[Yu], Yu, J.Y.[Jing-Yi], Ye, J.[Jinwei],
Full-Volume 3D Fluid Flow Reconstruction With Light Field PIV,
PAMI(45), No. 7, July 2023, pp. 8405-8418.
IEEE DOI 2306
BibRef
Earlier: A2, A4, A5, A6, Only:
3d Fluid Flow Reconstruction Using Compact Light Field PIV,
ECCV20(XVI: 120-136).
Springer DOI 2010
Light fields, Cameras, Image reconstruction, Fluids, Fluid flow, Light field imaging, multi-view fusion, volumetric flow reconstruction BibRef

Shiba, S.[Shintaro], Hamann, F.[Friedhelm], Aoki, Y.[Yoshimitsu], Gallego, G.[Guillermo],
Event-Based Background-Oriented Schlieren,
PAMI(46), No. 4, April 2024, pp. 2011-2026.
IEEE DOI 2403
an optical technique to observe the flow of transparent media, such as air or water. Cameras, Optical flow, Lighting, Spatial resolution, Robot vision systems, Photography, Lenses, Event camera, low-level vision BibRef

Zhang, X.Y.[Xin-Yu], Zhang, H.W.[Hong-Wei], Wang, Q.C.[Qi-Chao], Liu, X.Y.[Xiao-Ying], Liu, S.X.[Shou-Xin], Zhang, R.C.[Rong-Chuan], Li, R.Z.[Rong-Zhong], Wu, S.[Songhua],
Locating and Grading of Lidar-Observed Aircraft Wake Vortex Based on Convolutional Neural Networks,
RS(16), No. 8, 2024, pp. 1463.
DOI Link 2405
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Bai, B.[Bowen], Wang, Q.[Qingmeng], Pu, B.[Bailiang], Zhang, K.[Ke], Xue, L.[Long],
A Multi-Cycle Echo Energy Concentration Method for High-Mobility Targets Enveloped by Time-Varying Plasma Sheath,
RS(16), No. 13, 2024, pp. 2316.
DOI Link 2407
Hypersonic speed. BibRef

Fan, S.[Siming], Piao, J.[Jingtan], Qian, C.[Chen], Li, H.S.[Hong-Sheng], Lin, K.Y.[Kwan-Yee],
Simulating Fluids in Real-World Still Images,
ICCV23(15876-15885)
IEEE DOI 2401
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Mani, A.[Arjun], Chandratreya, I.P.[Ishaan Preetam], Creager, E.[Elliot], Vondrick, C.[Carl], Zemel, R.[Richard],
SurfsUp: Learning Fluid Simulation for Novel Surfaces,
ICCV23(14179-14189)
IEEE DOI 2401
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Lin, H.T.[Hai-Tao], Fu, Y.W.[Yan-Wei], Xue, X.Y.[Xiang-Yang],
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring,
ICCV23(241-251)
IEEE DOI 2401
BibRef

Qu, X.Y.[Xi-Yao], Liu, Z.J.[Zi-Jing], An, W.[Wei], Lyu, H.Q.[Hong-Qiang], Liu, X.J.[Xue-Jun],
Unsteady Flow Field Prediction: Understanding the Dynamics in an Intuitive Physics Way,
ICPR22(1879-1885)
IEEE DOI 2212
Deep learning, Visualization, Fluid dynamics, Time series analysis, Stochastic processes, Predictive models, Data models BibRef

Takahashi, Y.[Yuki], Muramatsu, S.[Shogo], Yasuda, H.[Hiroyasu], Hayasaka, K.[Kiyoshi], Otake, Y.[Yu],
Flow-Path Fitting from Images with Fourier Basis for River Health Assessment,
ICIP22(3687-3691)
IEEE DOI 2211
Shape, Simulation, Fitting, Reinforcement learning, Data models, Rivers, Group LASSO, DFT, ADMM, Unequally spased sampling, Curve fitting BibRef

Sukthanker, R.S.[Rhea Sanjay], Huang, Z.W.[Zhi-Wu], Kumar, S.[Suryansh], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Generative Flows with Invertible Attentions,
CVPR22(11224-11233)
IEEE DOI 2210
Jacobian matrices, Image synthesis, Computational modeling, Probability density function, Transformers, Data models, Image and video synthesis and generation BibRef

Richter, F.[Florian], Orosco, R.K.[Ryan K.], Yip, M.C.[Michael C.],
Image Based Reconstruction of Liquids from 2D Surface Detections,
CVPR22(13801-13810)
IEEE DOI 2210
Surface reconstruction, Liquids, Training data, Refractive index, Reflection, Sensors, Video analysis and understanding, Photogrammetry and remote sensing BibRef

Jian-sheng, Z., Hao, S., Xue-lin, Y.,
Study on the Testing Method of Aerial Blast Point based on Shock Wave Overpressure,
CVIDL20(398-400)
IEEE DOI 2102
computational fluid dynamics, shock waves, incident shock wave, peak overpressure information, Aerial Blast Point, Newton method, positioning accuracy BibRef

Mahapatra, A.[Aniruddha], Kulkarni, K.[Kuldeep],
Controllable Animation of Fluid Elements in Still Images,
CVPR22(3657-3666)
IEEE DOI 2210
Water, Training, Measurement, Image motion analysis, Fluids, Animation, Image and video synthesis and generation, Motion and tracking, Video analysis and understanding BibRef

Levis, A.[Aviad], Lee, D.[Daeyoung], Tropp, J.A.[Joel A.], Gammie, C.F.[Charles F.], Bouman, K.L.[Katherine L.],
Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements,
ICCV21(2320-2329)
IEEE DOI 2203
Fluid flow measurement, Correlation, Partial differential equations, Imaging, Stochastic processes, Low-level and physics-based vision BibRef

García-Sánchez, C., Vitalis, S., Paden, I., Stoter, J.,
The Impact of Level of Detail In 3d City Models for Cfd-based Wind Flow Simulations,
GeoInfo21(67-72).
DOI Link 2201
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Franz, E.[Erik], Solenthaler, B.[Barbara], Thuerey, N.[Nils],
Global Transport for Fluid Reconstruction with Learned Self-Supervision,
CVPR21(1632-1642)
IEEE DOI 2111
Visualization, Fluids, Reconstruction algorithms, Rendering (computer graphics) BibRef

Holynski, A.[Aleksander], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Animating Pictures with Eulerian Motion Fields,
CVPR21(5806-5815)
IEEE DOI 2111
Fluids, Animation, Robustness, Rivers BibRef

Schillaci, A.[Andrea], Quadrio, M.[Maurizio], Pipolo, C.[Carlotta], Restelli, M.[Marcello], Boracchi, G.[Giacomo],
Inferring Functional Properties from Fluid Dynamics Features,
ICPR21(4091-4098)
IEEE DOI 2105
Training, Computational fluid dynamics, Atmospheric modeling, Computational modeling, Pipelines, Predictive models, Nasal Breathing Difficulties BibRef

Wilde, T.[Thomas], Rössl, C.[Christian], Theisel, H.[Holger],
Flow Map Processing by Space-time Deformation,
ISVC20(I:236-247).
Springer DOI 2103
Visualize flows not as vestor fields. BibRef

Wang, Y.H.[Yuan-Hao], Idoughi, R.[Ramzi], Heidrich, W.[Wolfgang],
Stereo Event-based Particle Tracking Velocimetry for 3d Fluid Flow Reconstruction,
ECCV20(XXIX: 36-53).
Springer DOI 2010
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Zang, G., Idoughi, R., Wang, C., Bennett, A., Du, J., Skeen, S., Roberts, W.L., Wonka, P., Heidrich, W.,
TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos,
CVPR20(1867-1876)
IEEE DOI 2008
Image reconstruction, Cameras, Tomography, Videos, Interpolation BibRef

Thapa, S., Li, N., Ye, J.,
Dynamic Fluid Surface Reconstruction Using Deep Neural Network,
CVPR20(21-30)
IEEE DOI 2008
Surface reconstruction, Image reconstruction, Estimation, Distortion, Optical distortion BibRef

Shrestha, S., Thapa, M., Feng, L.G.Y., Abdelkader, S., Prinz, T., Lehmann, J., Fritze, H.,
Determination of Surface Velocity of a River Using Videos Captured From Unmanned Aerial System (uas),
UAV-g19(597-600).
DOI Link 1912
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Brauneck, J., Gattung, T., Jüpner, R.,
Surface Flow Velocity Measurements From UAV-based Videos,
UAV-g19(221-226).
DOI Link 1912
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Castro, M.[Marina], Araújo, R.J.[Ricardo J.], Campo-Deaño, L.[Laura], Oliveira, H.P.[Hélder P.],
Towards Automatic and Robust Particle Tracking in Microrheology Studies,
IbPRIA19(II:508-519).
Springer DOI 1910
Detect and track tracer beads. BibRef

Maharjan, S.[Samee],
Wave Front Tracking in High Speed Videos Using a Dynamic Template Matching,
IbPRIA19(I:531-542).
Springer DOI 1910
during gas experiments. BibRef

Piepereit, R., Deininger, M., Kada, M., Pries, M., Voß, U.,
A Sweep-plane Algorithm for the Simplification of 3D Building Models In The Application Scenario of Wind Simulations,
GeoInfo18(151-156).
DOI Link 1901
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Hanser, K.[Karsten], Klein, O.[Ole], Rieck, B.[Bastian], Wiebe, B.[Bettina], Selz, T.[Tobias], Piatkowski, M.[Marian], Sagristà, A.[Antoni], Zheng, B.[Boyan], Lukácová-Medvidová, M.[Mária], Craig, G.[George], Leitte, H.[Heike], Sadlo, F.[Filip],
Visualization of Parameter Sensitivity of 2D Time-Dependent Flow,
ISVC18(359-370).
Springer DOI 1811
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Lasinger, K., Vogel, C., Schindler, K.,
Volumetric Flow Estimation for Incompressible Fluids Using the Stationary Stokes Equations,
ICCV17(2584-2592)
IEEE DOI 1802
Navier-Stokes equations, computational fluid dynamics, flow simulation, flow visualisation, BibRef

Andrade, M.L.S.C.[Mauren Louise Sguario C.], de Arruda, L.V.R.[Lucia Valeria Ramos], dos Santos, E.N.[Eduardo Nunes], Pipa, D.R.[Daniel Rodrigues],
Bubble Shape Identification and Calculation in Gas-Liquid Slug Flow Using Semi-automatic Image Segmentation,
CIAP17(II:116-126).
Springer DOI 1711
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Biernacki, P.,
Doppler measurement of liquid flow in pipe using decimation and parametric spectral estimation method,
WSSIP17(1-4)
IEEE DOI 1707
Doppler effect, Estimation, Fluid flow measurement, Liquids, Steel, Transducers, Ultrasonic variables measurement, Doppler effect, downsampling, fluid flow, spectral, estimation BibRef

Kamilla, R.[Rahul], Nagarajan, V.[Vishwanath],
Analysis of Sloshing in Tanks Using Image Processing,
ICIAR17(651-659).
Springer DOI 1706
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Pedersen, B., Bailey, D.G., Hodgson, R.M., Ralph Ball, R.W.,
Development of a low cost microfluidic imaging system,
ICVNZ16(1-6)
IEEE DOI 1701
Fluids BibRef

Saito, K.[Keisuke], Ogawa, S.[Susumu],
Radioactive Pollution Estimate For Fukushima Nuclear Power Plant By A Particle Model,
ISPRS16(B8: 163-168).
DOI Link 1610
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Zubrzycki, M., Raczkowski, J.,
Surface Tension and Wettability Modeling for Flowing Liquids,
CGiV16(12-17)
IEEE DOI 1608
computational fluid dynamics BibRef

Dahrabou, A.[Asmae], Viseur, S.[Sophie], Gonzalez-Lorenzo, A.[Aldo], Rohmer, J.[Jérémy], Bac, A.[Alexandra], Real, P.[Pedro], Mari, J.L.[Jean-Luc], Audigane, P.[Pascal],
Topological Comparisons of Fluvial Reservoir Rock Volumes Using Betti Numbers: Application to CO 2 Storage Uncertainty Analysis,
CTIC16(101-112).
Springer DOI 1608
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Alcan, G.[Gokhan], Ghorbani, M.[Morteza], Kosar, A.[Ali], Unel, M.[Mustafa],
Single Droplet Tracking in Jet Flow,
ICIAR16(415-422).
Springer DOI 1608
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Solis-Lemus, J.A.[Jose Alonso], Huang, Y.S.[Yu-Shi], Wlodkowic, D.[Donald], Reyes-Aldasoro, C.C.[Constantino Carlos],
Microfluidic environment and tracking analysis for the observation of Artemia Franciscana,
MVAB15(xx-yy).
DOI Link 1601
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Rodrigues, R.O.[Raquel O.], Gomes, H.T.[Helder T.], Lima, R.[Rui], Silva, A.M.T.[Adrián M.T.], Rodrigues, P.J.S.[Pedro J.S.], Tavares, P.B.[Pedro B.], Tavares, J.M.R.S.[João Manuel R.S.],
Thermal Infrared Image Processing to Assess Heat Generated by Magnetic Nanoparticles for Hyperthermia Applications,
ISVC15(I: 25-34).
Springer DOI 1601
Cancer therapy. BibRef

Trancon y Widemann, B., Bogner, C.,
Image analysis for soil dye tracer infiltration studies,
IPTA12(409-414)
IEEE DOI 1503
flow visualisation BibRef

Nadir, Z.[Zeeshan], Brown, M.S.[Michael S.], Comer, M.L.[Mary L.], Bouman, C.A.[Charles A.],
Tomographic reconstruction of flowing gases using sparse training,
ICIP14(1733-1737)
IEEE DOI 1502
Absorption BibRef

Moirogiorgou, K.[Konstantia], Zervakis, M.E.[Michalis E.], Savakis, A.E.[Andreas E.], Sibetheros, I.[Ioannis],
Statistical Estimation of Fluid Flow: An Image Restoration Approach,
ISVC14(I: 162-171).
Springer DOI 1501
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Chandler, J.H., Ferreira, E., Wackrow, R., Shiono, K.,
Water Surface and Velocity Measurement-River and Flume,
CloseRange14(151-156).
DOI Link 1411
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Xue, T.F.[Tian-Fan], Rubinstein, M.[Michael], Wadhwa, N.[Neal], Levin, A.[Anat], Durand, F.[Fredo], Freeman, W.T.[William T.],
Refraction Wiggles for Measuring Fluid Depth and Velocity from Video,
ECCV14(III: 767-782).
Springer DOI 1408
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Tripathi, N., Narayanan, P.J.,
Generalized newtonian fluid simulations,
NCVPRIPG13(1-4)
IEEE DOI 1408
Boltzmann equation BibRef

Ravela, S.[Sai],
Spatial inference for coherent geophysical fluids by appearance and geometry,
WACV14(925-932)
IEEE DOI 1406
Equations BibRef

Agranovsky, A.[Alexy], Obermaier, H.[Harald], Joy, K.I.[Kenneth I.],
A Framework for the Visualization of Finite-Time Continuum Mechanics Effects in Time-Varying Flow,
ISVC13(II:349-360).
Springer DOI 1311
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Ji, Y.[Yu], Ye, J.W.[Jin-Wei], Yu, J.Y.[Jing-Yi],
Reconstructing Gas Flows Using Light-Path Approximation,
CVPR13(2507-2514)
IEEE DOI 1309
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Su, W.G.[Wei-Guang], Ping, B.[Bo], Su, F.Z.[Fen-Zhen],
Construction and Application of Marine Oil Spill Gravity Vector Differences Detection Model,
CIAP13(II:703-710).
Springer DOI 1309
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Xu, L.S.[Lin-Sen], Wei, X.M.[Xian-Ming], Cao, K.[Kai], Shi, Y.G.[Yun-Gao],
Dynamic analysis of fluid-structure interaction for the biped robot running on water,
ICARCV12(1546-1550).
IEEE DOI 1304
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Ho, S.S.[Shen-Shyang],
An effective vortex detection approach for velocity vector field,
ICPR12(2643-2646).
WWW Link. 1302
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Lecomte, T.[Timothee], Thibeaux, R.[Roman], Guillen, N.[Nancy], Dufour, A.[Alexandre], Olivo-Marin, J.C.[Jean-Christophe],
Fluid optical flow for forces and pressure field estimation in cellular biology,
ICIP12(69-72).
IEEE DOI 1302
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Chen, X.[Xiao], Wang, G.M.[Guang-Ming], Zhu, Y.[Ying], Owen, G.S.[G. Scott],
Real-time Simulation of Ship Motions in Waves,
ISVC12(I: 71-80).
Springer DOI 1209
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Obermaier, H.[Harald], Joy, K.I.[Kenneth I.],
Function Field Analysis for the Visualization of Flow Similarity in Time-varying Vector Fields,
ISVC12(II: 253-264).
Springer DOI 1209
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Kawasaki, H., Koizumi, T., Matsuda, K.,
Development of A Wind Observation System Using Photogrammetry,
ISPRS12(XXXIX-B5:27-31).
DOI Link 1209
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Ye, J.W.[Jin-Wei], Ji, Y.[Yu], Li, F.[Feng], Yu, J.Y.[Jing-Yi],
Angular domain reconstruction of dynamic 3D fluid surfaces,
CVPR12(310-317).
IEEE DOI 1208
Recover the varying surface. BibRef

Guérin, C.[Clément], Gomez-Krämer, P.[Petra], Ménard, M.[Michel], Coisne, D.[Damien],
Vortex Tracking in High Density Vector Fields,
ICIAR12(I: 192-199).
Springer DOI 1206
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Berger, K., Ruhl, K., Albers, M., Schroder, Y., Scholz, Al., Kokemuller, J., Guthe, S., Magnor, M.,
The capturing of turbulent gas flows using multiple Kinects,
ConDepth11(1108-1113).
IEEE DOI 1201
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Ding, Y.Y.[Yuan-Yuan], Li, F.[Feng], Ji, Y.[Yu], Yu, J.Y.[Jing-Yi],
Dynamic fluid surface acquisition using a camera array,
ICCV11(2478-2485).
IEEE DOI 1201
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Cai, S.Z.[Sheng-Ze], Mémin, E.[Etienne], Dérian, P.[Pierre], Xu, C.[Chao],
Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators,
EMMCVPR17(155-171).
Springer DOI 1805
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Dérian, P.[Pierre], Héas, P.[Patrick], Herzet, C.[Cédric], Mémin, É.[Étienne],
Wavelet-Based Fluid Motion Estimation,
SSVM11(737-748).
Springer DOI 1201

See also Wavelet-Based Optical Flow Estimation of Instant Surface Currents From Shore-Based and UAV Videos. BibRef

Arnaud, E.[Elise], Mémin, E.[Etienne], Sosa, R.[Roberto], Artana, G.[Guillermo],
A Fluid Motion Estimator for Schlieren Image Velocimetry,
ECCV06(I: 198-210).
Springer DOI 0608
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Syamsuddin, M.R.[Muhammad Rusdi], Kim, J.[Jinwook],
Controllable Simulation of Particle System,
ISVC11(II: 715-724).
Springer DOI 1109
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Rohith, M.V., Parishani, H.[Hossein], Ayala, O.[Orlando], Wang, L.P.[Lian-Ping], Kambhamettu, C.[Chandra],
CollisionExplorer: A Tool for Visualizing Droplet Collisions in a Turbulent Flow,
ISVC11(II: 669-680).
Springer DOI 1109
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Liu, W.[Wei], Ribeiro, E.[Eraldo],
A Higher-Order Model for Fluid Motion Estimation,
ICIAR11(I: 325-334).
Springer DOI 1106
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Pickup, D.[David], Li, C.[Chuan], Cosker, D.[Darren], Hall, P.M.[Peter M.], Willis, P.[Phil],
Reconstructing Mass-Conserved Water Surfaces Using Shape from Shading and Optical Flow,
ACCV10(IV: 189-201).
Springer DOI 1011
Water from real video. Vision and physics. Shape from shading for surface, vertical gradient for motion. BibRef

Xie, Z.X.[Zai-Xian], Ward, M.O.[Matthew O.], Rundensteiner, E.A.[Elke A.],
Visual Exploration of Stream Pattern Changes Using a Data-Driven Framework,
ISVC10(II: 522-532).
Springer DOI 1011
visualize data stream changes. BibRef

Pelfrey, B.[Brandon], House, D.[Donald],
Adaptive Neighbor Pairing for Smoothed Particle Hydrodynamics,
ISVC10(II: 192-201).
Springer DOI 1011
Simulation of fluid properties. BibRef

Rohrschneider, M.[Markus], Stadler, P.F.[Peter F.], Scheuermann, G.[Gerik],
A Visual Cross-database Comparison of Metabolic Networks,
ISVC12(II: 678-687).
Springer DOI 1209
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Rohrschneider, M.[Markus], Ullrich, A.[Alexander], Kerren, A.[Andreas], Stadler, P.F.[Peter F.], Scheuermann, G.[Gerik],
Visual Network Analysis of Dynamic Metabolic Pathways,
ISVC10(I: 316-327).
Springer DOI 1011
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Kobayashi, J., Bi, C.K.[Chong-Ke], Takahashi, S.,
Sophisticated Construction and Search of 2D Motion Graphs for Synthesizing Videos,
PSIVT10(487-494).
IEEE DOI 1011
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Bi, C.K.[Chong-Ke], Takahashi, S.[Shigeo], Fujishiro, I.[Issei],
Interpolating 3D Diffusion Tensors in 2D Planar Domain by Locating Degenerate Lines,
ISVC10(I: 328-337).
Springer DOI 1011
Visualizing biological processes. BibRef

Burch, M.[Michael], Schmauder, H.[Hansjörg], Weiskopf, D.[Daniel],
Indented Pixel Tree Browser for Exploring Huge Hierarchies,
ISVC11(I: 301-312).
Springer DOI 1109
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Tague, R.[Rhys], Maeder, A.[Anthony], Nguyen, Q.V.[Quang Vinh],
Interactive Visualisation of Time-Based Vital Signs,
ISVC10(II: 545-553).
Springer DOI 1011
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Stab, C.[Christian], Nazemi, K.[Kawa], Fellner, D.W.[Dieter W.],
SemaTime: Timeline Visualization of Time-Dependent Relations and Semantics,
ISVC10(III: 514-523).
Springer DOI 1011
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Regert, T.[Tamas], Tremblais, B.[Benoit], David, L.[Laurent],
Parallelized 3D optical flow method for fluid mechanics applications,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Xu, T.[Tao], Cheng, I.[Irene], Mandal, M.[Mrinal],
An Improved Fluid Vector Flow for Cavity Segmentation in Chest Radiographs,
ICPR10(3376-3379).
IEEE DOI 1008
BibRef

Li, F.[Feng], Xu, L.W.[Li-Wei], Guyenne, P.[Philippe], Yu, J.Y.[Jing-Yi],
Recovering fluid-type motions using Navier-Stokes potential flow,
CVPR10(2448-2455).
IEEE DOI 1006
BibRef

Taati, B.[Babak], Snoek, J.[Jasper], Giesbrecht, D.[David], Mihailidis, A.[Alex],
Water Flow Detection in a Handwashing Task,
CRV10(175-182).
IEEE DOI 1005
BibRef

Olufemi, A.F.[A. Folorunso], Sunar, M.S.[Mohammed Shahrizal], Kari, S.[Sarudin],
An Algorithm for Treating Uncertainties in the Visualization of Pipeline Sensors' Datasets,
IVIC09(561-572).
Springer DOI 0911
BibRef

Karim, S.A.A.[Samsul Ariffin Abdul], Hussain, M.Z.[Malik Zawwar],
Erratum to: Visualization of Positive and Monotone Data by Rational Quadratic Spline,
IVIC09(916).
Springer DOI 0911
BibRef
And:
Retracted: Visualization of Positive and Monotone Data by Rational Quadratic Spline,
IVIC09(436-447).
Springer DOI 0911
BibRef

Vafadar, B., Wu, B.[Bing], Bones, P.J.,
A statistical method for display and segmentation of 3D image data,
IVCNZ09(148-152).
IEEE DOI 0911
BibRef

Thakur, S.[Sidharth], Rhyne, T.M.[Theresa-Marie],
Data Vases: 2D and 3D Plots for Visualizing Multiple Time Series,
ISVC09(II: 929-938).
Springer DOI 0911
BibRef

Li, Z.L.[Zhan-Li], Liu, Y.T.[Yun-Ting],
Research on the Visualization and Simulation of Branch Breaking Based on Physical and Stochastic Approaches,
CISP09(1-4).
IEEE DOI 0910
BibRef

Ling, W.X.[Wu Xi], Xing, W.X.[Wang Xiao],
Simulation and Experimental Studies on the Stratified Flow of Gas-Water by Electromagnetic Tomography,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wang, E.P.[Er-Peng], Sun, B.[Bin], Qian, F.[Fei],
Design of Fuzzy Identification System for Patterns of Gas-Liquid Two-Phase Flow on LabVIEW,
CISP09(1-4).
IEEE DOI 0910
BibRef

Wang, H.Y.[Hong-Yi], Dong, F.[Feng],
A Effective Image Matching Method for Bubbly Flow Based on Wavelet Transform,
CISP09(1-5).
IEEE DOI 0910
BibRef

Bendicks, C.[Christian], Tarlet, D.[Dominique], Michaelis, B.[Bernd], Thévenin, D.[Dominique], Wunderlich, B.[Bernd],
Use of Coloured Tracers in Gas Flow Experiments for a Lagrangian Flow Analysis with Increased Tracer Density,
DAGM09(392-401).
Springer DOI 0909
BibRef

Chen, X.F.[Xiao-Fen], Xie, C.[Cui], Wei, Z.Q.[Zhi-Qiang],
Feature detection and visualization of ocean flow field sources, sinks based on vector field decomposition,
IASP09(260-264).
IEEE DOI 0904
BibRef

Hao, S.Q.[Shu-Qing], Yin, K.[Kun], Huang, H.W.[Hong-Wei],
Reverse circulation bit fluid field calculation,
IASP09(313-316).
IEEE DOI 0904
BibRef

Mohr, J.L., Johnston, R.A., Cottrell, P.L.,
Detection of wind velocities from scintillation images,
IVCNZ08(1-6).
IEEE DOI 0811
SCIDAR (SCIntillation Detection And Ranging). BibRef

Borges, P.V.K.[Paulo Vinicius Koerich], Mayer, J.[Joceli], Izquierdo, E.[Ebroul],
A probabilistic model for flood detection in video sequences,
ICIP08(13-16).
IEEE DOI 0810
BibRef

Park, J.Y.[Ji-Young], Cho, S.H.[Sang-Hyun], Choi, J.G.[Jung-Gil], Kim, M.H.[Myoung-Hee],
Immersive Visualization of Casting Flow and Solidification,
ISVC08(II: 980-989).
Springer DOI 0812
BibRef

Weiss, K.[Kenneth], de Floriani, L.[Leila],
Modeling and Visualization Approaches for Time-Varying Volumetric Data,
ISVC08(II: 1000-1010).
Springer DOI 0812
BibRef

Um, K.[Kiwon], Han, J.H.[Jung-Hyun],
Leaking Fluids,
ISVC08(I: 1135-1143).
Springer DOI 0812
Simulate flow through a boundary. BibRef

Bohrer, G.[Gil], Longo, M.[Marcos], Zielinski, D.J.[David J.], Brady, R.[Rachael],
VR Visualisation as an Interdisciplinary Collaborative Data Exploration Tool for Large Eddy Simulations of Biosphere-Atmosphere Interactions,
ISVC08(I: 856-866).
Springer DOI 0812
BibRef

Sanyal, J., Amburn, P., Zhang, S., Dyer, J., Fitzpatrick, P.J., Moorhead, R.J.,
User Experience of Hurricane Visualization in an Immersive 3D Environment,
ISVC08(I: 867-878).
Springer DOI 0812
BibRef

Ueng, S.K.[Shyh-Kuang], Chiang, Y.C.[Yu-Chong],
Wind Field Retrieval and Display for Doppler Radar Data,
ISVC08(I: 171-182).
Springer DOI 0812
BibRef

Franco, H.[Hugo], Perea, Á.[Álvaro], Romero, E.[Eduardo], Rodríguez, D.[Daniel],
Fluid Flow Measurement in Thermographic Video Sequences by Wavelet-Multiresolution Optical Flow Estimation,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Ravela, S.[Sai], Marshall, J.[John], Hill, C.[Chris], Wong, A.[Andrew], Stransky, S.[Scott],
Tracking rotating fluids in realtime using snapshots,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Isambert, T.[Till], Berroir, J.P.[Jean-Paul], Herlin, I.[Isabelle],
A Multi-scale Vector Spline Method for Estimating the Fluids Motion on Satellite Images,
ECCV08(IV: 665-676).
Springer DOI 0810
BibRef
Earlier:
Fast and Stable Vector Spline Method for Fluid Apparent Motion Estimation,
ICIP07(II: 505-508).
IEEE DOI 0709
BibRef

Garbe, C.S.[Christoph S.],
Fluid Flow Estimation Through Integration of Physical Flow Configurations,
DAGM07(92-101).
Springer DOI 0709
BibRef

Zéraï, M.[Mourad],
Image Denoising by Harmonic Mean Curvature Flow,
SSVM09(565-575).
Springer DOI 0906
BibRef

Zéraï, M.[Mourad], Moakher, M.[Maher],
Riemannian Curvature-Driven Flows for Tensor-Valued Data,
SSVM07(592-602).
Springer DOI 0705
BibRef

Moolani, V.[Veena], Balasubramanian, R.[Ramprasad], Shen, L.[Li], Tandon, A.[Amit],
Shape Analysis and Spatio-Temporal Tracking of Mesoscale Eddies in Miami Isopycnic Coordinate Ocean Model,
3DPVT06(663-670).
IEEE DOI 0606
BibRef

Jehle, M.[Markus], Jähne, B.[Bernd], Kertzscher, U.[Ulrich],
Direct Estimation of the Wall Shear Rate Using Parametric Motion Models in 3D,
DAGM06(434-443).
Springer DOI 0610
BibRef

Liu, X.U.[Xin U.], Nixon, M.S.[Mark S.],
Image and Volume Segmentation by Water Flow,
ISVC07(II: 62-74).
Springer DOI 0711
BibRef
Earlier:
Water Flow Based Complex Feature Extraction,
ACIVS06(833-845).
Springer DOI 0609
BibRef

Korzhova, V.N.[Valentina N.], Goldgof, D.B.[Dmitry B.], Sisoev, G.M.[Grigori M.],
Detection of Spiral Waves in Video,
ICPR06(I: 396-399).
IEEE DOI 0609
BibRef

Sood, V., John, B., Balasubramanian, R., Tandon, A.,
Segmentation and Tracking of Mesoscale Eddies in Numeric Ocean Models,
ICIP05(III: 469-472).
IEEE DOI 0512
BibRef

Zhang, Y.J.[Yun-Jun],
Dynamic Water Motion Analysis and Rendering,
ICIAR05(796-803).
Springer DOI 0509
BibRef

Klein, T.[Thomas], Ertl, T.[Thomas],
Illustrating Magnetic Field Lines using a Discrete Particle Model,
VMV04(387-394). 0411
BibRef

Scholz, V.[Volker], Magnor, M.A.[Marcus A.],
Cloth Motion from Optical Flow,
VMV04(117-124). 0411
BibRef

Ihrke, I.[Ivo], Goldlücke, B.[Bastian], Magnor, M.A.[Marcus A.],
Reconstructing the Geometry of Flowing Water,
ICCV05(II: 1055-1060).
IEEE DOI 0510
BibRef

Biancardi, A.[Alberto], Ghilardi, P.[Paolo], Pagliardi, M.[Matteo],
Automatic Mask Extraction for PIV-Based Dam-Break Analysis,
IbPRIA05(II:705).
Springer DOI 0509
Analysis of debris flows. PIV: Particle Imaging Velocimetry. BibRef

Biancardi, A.[Alberto], Ghilardi, P.[Paolo], Pagliardi, M.[Matteo],
Dry Granular Flows Need Special Tools,
CRV05(514-520).
IEEE DOI 0505
BibRef

Heroor, S., Cohen, I.,
Affine layer segmentation and adjacency graphs for vortex detection,
ICPR04(IV: 223-226).
IEEE DOI 0409
BibRef

Jähne, B.,
Image Sequence Analysis in Environmental and Live Sciences,
DAGM03(608-617).
Springer DOI 0310
Estimation of the parameters of dynamic processes including motion fields. BibRef

Suchecki, W.[Witold], Urbaniec, K.[Krzysztof],
A Method to Analyse the Motion of Solid Particle in Oscillatory Stream of a Viscous Liquid,
CAIP01(357 ff.).
Springer DOI 0210
BibRef

Weiskopf, D., Hopf, M., Ertl, T.,
Hardware-Accelerated Visualization of Time-Varying 2-D and 3-D Vector Fields by Texture Advection via Programmable Per-Pixel Operations,
VMV01(xx-yy).
PDF File. 0209
BibRef

Wischgoll, T., Scheuermann, G., Hagen, H.,
Tracking Closed Streamlines in Time-Dependent Planar Flows,
VMV01(xx-yy).
PDF File. 0209
BibRef

Yang, Q.[Qing], Parvin, B.[Bahram],
Feature based Visualization of Geophysical Data,
CVPR00(II: 276-281).
IEEE DOI 0005
Extract flow features BibRef

Yang, Q., Parvin, B., Mariano, A.,
Singular Features in Sea Surface Temperature Data,
ICPR00(Vol I: 516-520).
IEEE DOI 0009
Analyze flows and velocities in the data. BibRef

Qiu, M.,
Let us Suppose a Liquid Optical Flow in Images: The Validity of Optical Flow Revisited,
ICIP00(Vol I: 864-867).
IEEE DOI 0008
BibRef

Béréziat, D.[Dominique], Herlin, I.[Isabelle], Younes, L.[Laurent],
A Generalized Optical Flow Constraint and its Physical Interpretation,
CVPR00(II: 487-492).
IEEE DOI 0005
BibRef

Emin, E.M., Perez, P.,
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields,
ICCV99(620-625).
IEEE DOI BibRef 9900

Maurizot, M.[Mariette], Bouthemy, P.[Patrick], Delyon, B.[Bernard],
2D Fluid Motion Analysis from a Single Image,
CVPR98(184-189).
IEEE DOI BibRef 9800

Hu, P.C.[Po-Chin], Strickland, R.N.[Robin N.],
Detection of Vortices in Flow Images using the Wavelet Transform,
ICIP99(II:740-744).
IEEE Abstract. BibRef 9900

Rodrigues, P.S.S., de Albuquerque Araújo, A.[Arnaldo], Pinotti, M.,
Describing patterns in flow-like images,
CIAP99(424-429).
IEEE DOI 9909
BibRef

Bailey, D.G., Shand, R.D.,
Determining large scale sandbar behaviour,
ICIP96(II: 637-640).
IEEE DOI 9610
BibRef

Zhong, J., Huang, T.S., Adrian, R.J.,
Salient Structure Analysis for Fluid Flow,
CVPR94(310-315).
IEEE DOI BibRef 9400

Maas, H.G., Stefanidis, A., Gruen, A.,
Feature tracking in 3-D fluid tomography sequences,
ICIP94(I: 530-534).
IEEE DOI 9411
BibRef

Buga, S.G., Blank, V.D., Ivanov, N.,
Computer visualization of pressure distribution and substance flow in diamond anvil cells,
ICPR92(I:181-184).
IEEE DOI 9208
BibRef

Chapter on Optical Flow Field Computations and Use continues in
Wind Turbine Wakes, Wind Turbines .