Abstract : 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 is evaluated on image sequences of turbulent fluid flows.
https://hal.inria.fr/hal-00737566 Contributor : Pierre DérianConnect in order to contact the contributor Submitted on : Tuesday, October 2, 2012 - 11:16:46 AM Last modification on : Wednesday, February 2, 2022 - 3:52:51 PM Long-term archiving on: : Friday, December 16, 2016 - 7:27:29 PM
Pierre Dérian, Patrick Héas, Cédric Herzet, Etienne Mémin. Wavelets and Optical Flow Motion Estimation. Numerical mathematics : a journal of Chinese universities, Nanjing University Press, 2013, 6, pp.116-137. ⟨hal-00737566⟩