@Article{NMTMA-6-116,
author = {P. Dérian, P. Héas, C. Herzet and E. Mémin},
title = {Wavelets and Optical Flow Motion Estimation},
journal = {Numerical Mathematics: Theory, Methods and Applications},
year = {2013},
volume = {6},
number = {1},
pages = {116--137},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2079-7338},
doi = {https://doi.org/10.4208/nmtma.2013.mssvm07},
url = {http://global-sci.org/intro/article_detail/nmtma/5897.html}
}