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

机译:3D文化对象的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:为了欣赏3D文化物体,例如艺术雕像,传统车辆以及历史建筑物或城市,可视化主要用于以下样式:(1)逼真的计算机图形学,(2)艺术计算机图形学和(3)交互式虚拟图形现实。但是,对于3D文化对象的学术研究,这些样式是不够的。也就是说,我们需要更多的分析样式,以提取可视化目标的不可见或隐蔽特征。使这种分析可视化变得更加重要的是最近的范围传感技术的快速发展,以数字方式存档真实的3D对象。例如,现代激光扫描可为一次测量生成超过107或108个3D点数据。为了从这样的大规模和复杂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)可视助手的叠加,以及(C)时间序列可视化。

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