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Analytical Visualization of Large-Scale Data of 3D Cultural Objects

机译:三维文化物体大规模数据的分析可视化

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For appreciating 3D cultural objects, e.g., artistic statues, traditional vehicles, and historical buildings or cities, visualization has mainly been used in the following styles: (1) realistic computer graphics, (2) artistic computer graphics, and (3) interactive virtual reality. However, for academic studying of 3D cultural objects, these styles are insufficient. Namely, we need more analytical styles that can extract invisible or veiled features of visualized targets. What makes such analytical visualization more important is recent rapid development of range-sensing technology to digitally archive real 3D objects. For example, modern laser scanning produces over 107 or 108 3D point data for one measurement. To extract useful information from such large-scale and complex data, we need (A) precise 3D transparent visualization, (B) superposition of visual assistants, and (C) time-series visualization.
机译:对于欣赏3D文化目的,例如艺术雕像,传统车辆和历史建筑或城市,可视化主要用于以下样式:(1)现实计算机图形,(2)艺术计算机图形,(3)交互式虚拟现实。然而,对于学习3D文化物品的学习,这些样式不足。即,我们需要更多的分析样式,可以提取可视化目标的隐形或遮盖功能。更重要的是,更重要的是近期归档真正的3D对象的范围传感技术的快速发展。例如,现代激光扫描产生超过107或108 3D点数据,用于一个测量。要从这种大规模和复杂的数据中提取有用的信息,我们需要(a)精确的3D透明可视化,(b)视觉助理的叠加,(c)时间序列可视化。

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