IEEE Trans Vis Comput Graph - A Deformation Framework for Focus+Context Flow Visualization.

Tópicos

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Resumo

Striking a careful balance among coverage, occlusion and complexity is a resounding theme in the visual understanding of large and complex three-dimensional flow fields. In this paper, we present a novel deformation framework for focus+context streamline visualization that reduces occlusion and clutter around the focal regions while compacting the context region in a full view. Unlike existing techniques that vary streamline densities, we advocate a different approach that manipulates streamline positions. This is achieved by partitioning the flow field's volume space into blocks and deforming the blocks to guide streamline repositioning. We formulate block expansion and block smoothing into energy terms and solve for a deformed grid that minimizes the objective function under the volume boundary and edge flipping constraints. Leveraging a GPU linear system solver, we demonstrate interactive focus+context visualization with 3D flow field data of various characteristics. Compared to the fisheye focus+context technique, our method can magnify multiple streamlines of focus in different regions simultaneously while minimizing the distortion through optimized deformation. Both automatic and manual feature specifications are provided for flexible focus selection and effective visualization.

Resumo Limpo

strike care balanc among coverag occlus complex resound theme visual understand larg complex threedimension flow field paper present novel deform framework focuscontext streamlin visual reduc occlus clutter around focal region compact context region full view unlik exist techniqu vari streamlin densiti advoc differ approach manipul streamlin posit achiev partit flow field volum space block deform block guid streamlin reposit formul block expans block smooth energi term solv deform grid minim object function volum boundari edg flip constraint leverag gpu linear system solver demonstr interact focuscontext visual d flow field data various characterist compar fishey focuscontext techniqu method can magnifi multipl streamlin focus differ region simultan minim distort optim deform automat manual featur specif provid flexibl focus select effect visual

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