Eurographics/ Ieee-vgtc Symposium on Visualization (2007) Design of Multi-dimensional Transfer Functions Using Dimensional Reduction
Eurographics/ Ieee-vgtc Symposium on Visualization (2007) Design of Multi-dimensional Transfer Functions Using Dimensional Reduction
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通讯作者：
Ken Museth;Torsten Möller;Anders Ynnerman;Francisco De;Moura Pinto;C. Freitas
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作者：
Ken Museth;Torsten Möller;Anders Ynnerman;Francisco De;Moura Pinto;C. Freitas
直接体绘制技术允许体数据的可视化，而无需提取中间几何体。从体素属性到光学属性的映射是通过传递函数执行的，因此，传递函数在从数据构建信息图像方面发挥着至关重要的作用。仅基于每个体素的标量值的一维传递函数通常不能提供适当的可视化。另一方面，多维传递函数可以基于矢量体素签名执行更复杂的数据分类。传递函数设计是一项重要且不直观的任务，尤其是在多维情况下。在本文中，我们提出了一种多维传递函数设计技术，该技术使用自组织映射来执行降维。我们的方法对包含任意维度的体素签名的体积数据进行统一处理，并允许使用任何类型的体素属性作为体素签名的一部分。
Direct volume rendering techniques allow visualization of volume data without extracting intermediate geometry. The mapping from voxel attributes to optical properties is performed by transfer functions which, consequently, play a crucial role in building informative images from the data. One-dimensional transfer functions, which are based only on a scalar value per voxel, often do not provide proper visualizations. On the other hand, multi-dimensional transfer functions can perform more sophisticated data classification, based on vectorial voxel signatures. The transfer function design is a non-trivial and unintuitive task, especially in the multi-dimensional case. In this paper we propose a multi-dimensional transfer function design technique that uses self-organizing maps to perform dimensional reduction. Our approach gives uniform treatment to volume data containing voxel signatures of arbitrary dimension, and allows the use of any type of voxel attribute as part of the voxel signatures.