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• W1972649462 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." @default.
• W1972649462 created "2016-06-24" @default.
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• W1972649462 date "2012-11-01" @default.
• W1972649462 modified "2023-10-18" @default.
• W1972649462 title "Detecting singular patterns in 2D vector fields using weighted Laurent polynomial" @default.
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• W1972649462 doi "https://doi.org/10.1016/j.patcog.2012.04.025" @default.
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