IEEE Trans Vis Comput Graph - Image-Space Texture-Based Output-Coherent Surface Flow Visualization.

Tópicos

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Resumo

Image-space Line Integral Convolution (LIC) is a popular scheme for visualizing surface vector fields due to its simplicity and high efficiency. To avoid inconsistencies or color blur during the user interactions, existing approaches employ surface parameterization or 3D volume texture schemes. However, they often require expensive computation or memory cost, and cannot achieve consistent results in terms of both the granularity and color distribution on different scales. This paper introduces a novel image-space surface flow visualization approach that preserves the coherence during user interactions. To make the noise texture under different viewpoints coherent, we propose to pre-compute a sequence of mipmap noise textures in a coarse-to-fine manner for consistent transition, and map the textures onto each triangle with randomly assigned and constant texture coordinates. Further, a standard image-space LIC is performed to generate the flow texture. The proposed approach is simple and GPU-friendly, and can be easily combined with various texture-based flow visualization techniques. By leveraging viewpoint-dependent backward tracing and mipmap noise phase, our method can be incorporated with the Image Based Flow Visualization (IBFV) technique for coherent visualization of unsteady flows. We demonstrate consistent and highly efficient flow visualization on a variety of datasets.

Resumo Limpo

imagespac line integr convolut lic popular scheme visual surfac vector field due simplic high effici avoid inconsist color blur user interact exist approach employ surfac parameter d volum textur scheme howev often requir expens comput memori cost achiev consist result term granular color distribut differ scale paper introduc novel imagespac surfac flow visual approach preserv coher user interact make nois textur differ viewpoint coher propos precomput sequenc mipmap nois textur coarsetofin manner consist transit map textur onto triangl random assign constant textur coordin standard imagespac lic perform generat flow textur propos approach simpl gpufriend can easili combin various texturebas flow visual techniqu leverag viewpointdepend backward trace mipmap nois phase method can incorpor imag base flow visual ibfv techniqu coher visual unsteadi flow demonstr consist high effici flow visual varieti dataset

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