evaculate 发表于 2025-3-23 13:06:38
Leaf Glyphs: Story Telling and Data Analysis Using Environmental Data Glyph Metaphorsing multi-dimensional data. Motivated by the human ability to visually discriminate natural shapes like trees in a forest, single flowers in a flower-bed, or leaves at shrubs, we design a flexible leaf-shaped data glyph, where data controls main leaf properties including leaf morphology, leaf venati同谋 发表于 2025-3-23 13:54:25
Compression and Heuristic Caching for GPU Particle Tracing in Turbulent Vector Fieldsd integrate it into a block-based particle tracing approach. Furthermore, we present a priority-based GPU caching scheme to reduce memory access operations. In some experiments we confirm that the compression has only minor impact on the accuracy of the trajectories, and that on a desktop system ouradroit 发表于 2025-3-23 21:17:56
http://reply.papertrans.cn/24/2344/234314/234314_13.pngBOLUS 发表于 2025-3-23 23:48:34
TVL, Planarity Regularization for 3D Shape Approximationth consistent implicit shapes from noisy samples with a heterogeneous density. The minimization of total variation of second differential degree makes it possible to enforce planar surfaces which often occur in man-made environments. Applying the new technique means that less accurate, low-cost 3D sexplicit 发表于 2025-3-24 06:09:36
http://reply.papertrans.cn/24/2344/234314/234314_15.pngFecundity 发表于 2025-3-24 08:03:42
Marvin S. Antelman,Franklin J. Harris Jr.ely guide the organization of multidimensional data projection layouts. Moreover, we present real-world examples that demonstrate effective choices made by visualization designers faced with complex datasets requiring dimensionality reduction.嬉耍 发表于 2025-3-24 11:06:04
http://reply.papertrans.cn/24/2344/234314/234314_17.pngLiberate 发表于 2025-3-24 16:41:53
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http://reply.papertrans.cn/24/2344/234314/234314_19.pngaerobic 发表于 2025-3-25 00:21:07
Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Exampely guide the organization of multidimensional data projection layouts. Moreover, we present real-world examples that demonstrate effective choices made by visualization designers faced with complex datasets requiring dimensionality reduction.