Visibility Histograms and Visibility-Driven Transfer Functions
Visibility Histograms and Visibility-Driven Transfer Functions
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DOI：
10.1109/tvcg.2010.35
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发表时间：
2011-02
影响因子：
5.2
通讯作者：
Carlos D. Correa;K. Ma
中科院分区：
文献类型：
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作者：
Carlos D. Correa;K. Ma
直接体绘制是复杂数据集可视化的重要工具。然而，在将三维数据生成二维图像的过程中，信息会以衰减和遮挡的形式丢失。缺乏反馈机制来量化呈现过程中的信息损失，使得设计良好的传递函数成为一项困难且耗时的任务。在本文中，我们提出了可见性直方图的一般概念，它是体渲染图像中可见性分布的多维图形表示。在本文中，我们探讨了由强度值和梯度幅度产生的一维和二维传递函数。在这些直方图的帮助下，用户可以管理一组复杂的传递函数参数，这些参数可以最大限度地提高感兴趣区间的可见性，并提供高质量的体数据图像。我们提出了一种半自动化的生成传递函数的方法，该方法逐步探索传递函数空间，以最大限度地提高重要结构的可见性。我们的方法可以很容易地部署在大多数可视化系统中，并且可以与基于标量值的传统1D和2D不透明度传递函数以及其他更复杂的渲染算法一起使用。
Direct volume rendering is an important tool for visualizing complex data sets. However, in the process of generating 2D images from 3D data, information is lost in the form of attenuation and occlusion. The lack of a feedback mechanism to quantify the loss of information in the rendering process makes the design of good transfer functions a difficult and time consuming task. In this paper, we present the general notion of visibility histograms, which are multidimensional graphical representations of the distribution of visibility in a volume-rendered image. In this paper, we explore the 1D and 2D transfer functions that result from intensity values and gradient magnitude. With the help of these histograms, users can manage a complex set of transfer function parameters that maximize the visibility of the intervals of interest and provide high quality images of volume data. We present a semiautomated method for generating transfer functions, which progressively explores the transfer function space toward the goal of maximizing visibility of important structures. Our methodology can be easily deployed in most visualization systems and can be used together with traditional 1D and 2D opacity transfer functions based on scalar values, as well as with other more sophisticated rendering algorithms.