TY - JOUR T1 - Wavelets and Optical Flow Motion Estimation AU - P. Dérian, P. Héas, C. Herzet & E. Mémin JO - Numerical Mathematics: Theory, Methods and Applications VL - 1 SP - 116 EP - 137 PY - 2013 DA - 2013/06 SN - 6 DO - http://doi.org/10.4208/nmtma.2013.mssvm07 UR - https://global-sci.org/intro/article_detail/nmtma/5897.html KW - Wavelets, optical flow, motion estimation, large displacements, fluid flows. AB -
This article describes the implementation of a simple wavelet-based optical-flow motion estimator dedicated to continuous motions such as fluid flows. The wavelet representation of the unknown velocity field is considered. This scale-space representation, associated to a simple gradient-based optimization algorithm, sets up a well-defined multiresolution framework for the optical flow estimation. Moreover, a very simple closure mechanism, approaching locally the solution by high-order polynomials is provided by truncating the wavelet basis at fine scales. Accuracy and efficiency of the proposed method are evaluated on image sequences of turbulent fluid flows.