Detecting singular patterns in 2D vector fields using weighted Laurent polynomial. Liu, W. & Ribeiro, E. Pattern Recognition, 45(11):3912-3925, Pergamon, 4, 2012. ![Detecting singular patterns in 2D vector fields using weighted Laurent polynomial [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex In this paper, we propose a method for detecting patterns of interest in vector fields. Our method detects patterns in a scale- and rotation-invariant manner. It works by approximating the vector-field data locally using a Laurent polynomial weighted by radial basis functions. The proposed representation is able to model both analytic and non-analytic flow fields. Invariance to scale and rotation is achieved by combining the linearity properties of the model coefficients and a scale-space parameter of the radial basis functions. Promising detection results are obtained on a variety of fluid-flow sequences. © 2012 Elsevier Ltd. All rights reserved.
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title = {Detecting singular patterns in 2D vector fields using weighted Laurent polynomial},
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year = {2012},
keywords = {Complex-valued function,Laurent polynomials,Scale- and rotation-invariance,Singular-pattern detection,Vector fields},
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abstract = {In this paper, we propose a method for detecting patterns of interest in vector fields. Our method detects patterns in a scale- and rotation-invariant manner. It works by approximating the vector-field data locally using a Laurent polynomial weighted by radial basis functions. The proposed representation is able to model both analytic and non-analytic flow fields. Invariance to scale and rotation is achieved by combining the linearity properties of the model coefficients and a scale-space parameter of the radial basis functions. Promising detection results are obtained on a variety of fluid-flow sequences. © 2012 Elsevier Ltd. All rights reserved.},
bibtype = {article},
author = {Liu, Wei and Ribeiro, Eraldo},
doi = {10.1016/j.patcog.2012.04.025},
journal = {Pattern Recognition},
number = {11}
}
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