A cluster-space visual interface for arbitrary dimensional classification of volume data

A cluster-space visual interface for arbitrary dimensional classification of volume data
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DOI:
10.2312/vissym/vissym04/017-024
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发表时间:
2004-05
期刊:
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影响因子:
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通讯作者:
Fan-Yin Tzeng;K. Ma
Fan-Yin Tzeng;K. Ma
中科院分区:
其他
文献类型:
--
作者:
Fan-Yin Tzeng;K. Ma

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在体积可视化中,用户通常指定传递函数来对数据进行分类,并将视觉属性分配给每个材料类。由于考虑了更多的数据属性,高维分类使得区分材料类别更容易。使用高维分类的困难之一是缺乏适当的用户界面。我们引入了一个直观的用户界面,允许用户在集群空间中工作,它显示了一组材料部件的材料类,而不是在传递函数空间中工作。该接口不仅为用户提供了指定任意维传递函数的能力,而且还允许用户直接对分类和可视化结果进行操作。
In volume visualization, users typically specify transfer functions to classify the data and assign visual attributes to each material class. Higher-dimensional classification makes it easier to differentiate material classes since more data properties are considered. One of the difficulties in using higher-dimensional classification is the absence of appropriate user interfaces. We introduce an intuitive user interface that allows the user to work in the cluster space, which shows the material classes with a set of material widgets, rather than work in the transfer function space. This interface not only provides the user the capability to specify arbitrary-dimensional transfer functions, but also allows the user to operate directly on the classification and visualization results.