The existence of geometrical density—image transformations corresponding to object motion
Computer Vision, Graphics, and Image Processing
Constrained Restoration and the Recovery of Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image models for 2-D flow visualization and compression
CVGIP: Graphical Models and Image Processing
Performance of optical flow techniques
International Journal of Computer Vision
A scalar function formulation for optical flow
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Recursive non-linear estimation of discontinuous flow fields
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
The computation of optical flow
ACM Computing Surveys (CSUR)
Representing and visualizing fluid flow images and velocimetry data by nonlinear dynamical systems
Graphical Models and Image Processing
International Journal of Computer Vision
Reliable and Efficient Computation of Optical Flow
International Journal of Computer Vision
Image Sequence Analysis via Partial Differential Equations
Journal of Mathematical Imaging and Vision
International Journal of Computer Vision
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Recovering estimates of fluid flow from image sequence data
Computer Vision and Image Understanding
VLSI design methodology for edge-preserving image reconstruction
Real-Time Imaging
Computing Optical Flow with Physical Models of Brightness Variation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
Journal of Mathematical Imaging and Vision
Acquisition of Symbolic Description from Flow Fields: A New Approach Based on a Fluid Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
2D Fluid Motion Analysis from a Single Image
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
Dense Motion Analysis in Fluid Imagery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Extraction of Singular Points from Dense Motion Fields: An Analytic Approach
Journal of Mathematical Imaging and Vision
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation
Journal of Mathematical Imaging and Vision
A Low Dimensional Fluid Motion Estimator
International Journal of Computer Vision
A Variational Technique for Time Consistent Tracking of Curves and Motion
Journal of Mathematical Imaging and Vision
A physically based satellite rainfall estimation method using fluid dynamics modelling
International Journal of Remote Sensing
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
A Geometric Framework and a New Criterion in Optical Flow Modeling
Journal of Mathematical Imaging and Vision
A new energy-based method for 3D motion estimation of incompressible PIV flows
Computer Vision and Image Understanding
Optical-flow estimation of dense motion field using robust techniques
ECC'08 Proceedings of the 2nd conference on European computing conference
Two-Frame Optical Flow Formulation in an Unwarping Multiresolution Scheme
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Data-driven animation of crowds
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Variational dense motion estimation using the Helmholtz decomposition
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A consistent spatio-temporal motion estimator for atmospheric layers
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A variational framework for spatio-temporal smoothing of fluid motions
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Fluid flow estimation through integration of physical flow configurations
Proceedings of the 29th DAGM conference on Pattern recognition
Physically consistent and efficient variational denoising of image fluid flow estimates
IEEE Transactions on Image Processing
Robust processing of optical flow of fluids
IEEE Transactions on Image Processing
Fast dynamic texture detection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Challenges of medical image processing
Computer Science - Research and Development
A higher-order model for fluid motion estimation
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Direct estimation of the wall shear rate using parametric motion models in 3d
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
A fluid motion estimator for schlieren image velocimetry
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Iterative filter generation using genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Optimal ratio of lamé moduli with application to motion of jupiter storms
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Vortex and source particles for fluid motion estimation
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Discrete orthogonal decomposition and variational fluid flow estimation
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
A study of non-smooth convex flow decomposition
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Stochastic models for local optical flow estimation
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Wavelet-Based fluid motion estimation
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
2D motion description and contextual motion analysis: issues and new models
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
Cardiac motion estimation using covariant derivatives and helmholtz decomposition
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Divergence-free motion estimation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Hi-index | 0.14 |
In this paper, we address the problem of estimating and analyzing the motion of fluids in image sequences. Due to the great deal of spatial and temporal distortions that intensity patterns exhibit in images of fluids, the standard techniques from Computer Vision, originally designed for quasi-rigid motions with stable salient features, are not well adapted in this context. We thus investigate a dedicated minimization-based motion estimator. The cost function to be minimized includes a novel data term relying on an integrated version of the continuity equation of fluid mechanics, which is compatible with large displacements. This term is associated with an original second-order div-curl regularization which prevents the washing out of the salient vorticity and divergence structures. The performance of the resulting fluid flow estimator is demonstrated on meteorological satellite images. In addition, we show how the sequences of dense motion fields we estimate can be reliably used to reconstruct trajectories and to extract the regions of high vorticity and divergence.