Distance measures for signal processing and pattern recognition
Signal Processing
Computerized Flow Field Analysis: Oriented Texture Fields
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
Representing and visualizing fluid flow images and velocimetry data by nonlinear dynamical systems
Graphical Models and Image Processing
International Journal of Computer Vision
Dense Estimation of Fluid Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquisition of Symbolic Description from Flow Fields: A New Approach Based on a Fluid Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Flow and Phase Portrait Methods for Environmental Satellite Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
2D Fluid Motion Analysis from a Single Image
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Dense Motion Analysis in Fluid Imagery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Automatic tropical cyclone eye fix using genetic algorithm
Expert Systems with Applications: An International Journal
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
Expert Systems with Applications: An International Journal
A new energy-based method for 3D motion estimation of incompressible PIV flows
Computer Vision and Image Understanding
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
A fast and noise-tolerant method for positioning centers of spiraling and circulating vector fields
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Robust processing of optical flow of fluids
IEEE Transactions on Image Processing
Scale and rotation invariant detection of singular patterns in vector flow fields
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
A streakline representation of flow in crowded scenes
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Feature detection and tracking in optical flow on non-flat manifolds
Pattern Recognition Letters
Iterative filter generation using genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Tropical cyclone eye fix using genetic algorithm with temporal information
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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
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In this paper we propose a new method to extract the vortices, sources, and sinks from the dense motion field preliminary estimated between two images of a fluid video. This problem is essential in meteorology for instance to identify and track depressions or convective clouds in satellite images. The knowledge of such points allows in addition a compact representation of the flow which is very useful in both experimental and theoretical fluid mechanics. The method we propose here is based on an analytic representation of the flow. This approach has the advantage of being robust, simple, fast and requires few parameters.