Dense Motion Analysis in Fluid Imagery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
A Low Dimensional Fluid Motion Estimator
International Journal of Computer Vision
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
Divergence-free motion estimation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
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This paper presents an approach to measuring fluid flow from image sequences. The approach centers around a motion recovery algorithm that is based on principles from fluid mechanics: The algorithm is constrained so that recovered flows observe conservation of mass as well as physically motivated boundary conditions. Empirical results are presented from application of the algorithm to fluid flows captured via transmittance imagery (i.e., radiographs). In these experiments, fluids seeded with tracers were driven through simple physical systems. The significance of this work is twofold. First, from a theoretical point of view it is shown how information derived from the physical behavior of fluids can be used to motivate a flow recovery algorithm. Second, from an applications point of view the developed algorithm can be used to augment the tools that are available for the measurement of fluid dynamics; other imaged flows that observe compatible constraints might benefit in a similar fashion.