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• W2294211097 abstract "In this work we propose an effective method for frequency-controlled dense flow visualization derived from a generalization of the Line Integral Convolution (LIC) technique. Our approach consists in considering the spectral properties of the dense flow visualization process as an integral operator defined in a local curvilinear coordinate system aligned with the flow. Exploring LIC from this point of view, we suggest a systematic way to design a flow visualization process with particular local spatial frequency properties of the resulting image. Our method is efficient, intuitive, and based on a long-standing model developed as a result of numerous perception studies. The method can be described as an iterative application of line integral convolution, followed by a one-dimensional Gabor filtering orthogonal to the flow. To demonstrate the utility of the technique, we generated novel adaptive multi-frequency flow visualizations, that according to our evaluation, feature a higher level of frequency control and higher quality scores than traditional approaches in texture-based flow visualization." @default.
• W2294211097 created "2016-06-24" @default.
• W2294211097 creator A5009566240 @default.
• W2294211097 creator A5024793839 @default.
• W2294211097 date "2015-10-01" @default.
• W2294211097 modified "2023-09-24" @default.
• W2294211097 title "Explicit frequency control for high-quality texture-based flow visualization" @default.
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• W2294211097 doi "https://doi.org/10.1109/scivis.2015.7429490" @default.
• W2294211097 hasPublicationYear "2015" @default.
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