Computing optical flow via variational techniques
SIAM Journal on Applied Mathematics
Dense Estimation of Fluid Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
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Variational Optical Flow estimation models have proven to be highly useful tools for both tracking (rigid) object paths and for calculating motion fields registered in digital video sequences. Specific acquisition techniques, such as infrared thermographic video, allow to carry out further studies of the fluid dynamics for several kind of phenomena. This paper presents a methodological approach to obtain a reliable estimation of the temporal evolution of thermal structures in fluid surfaces using a multiresolution scheme based on the Galerkin-Wavelet Analysis. An appropriate regularizer, adapted for the specific problem herein presented, is also introduced.