Curvature-based transfer functions for direct volume rendering: methods and applications 论文

2004IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control引用 373
Computer Graphics and Visualization TechniquesAdvanced Vision and Imaging3D Shape Modeling and Analysis

详细信息

发表期刊/会议
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
发表日期
2004-03-01
发表年份
2004

关键词

Computer Graphics and Visualization TechniquesAdvanced Vision and Imaging3D Shape Modeling and Analysis

摘要

Direct volume rendering of scalar fields uses a transfer function to map locally measured data properties to opacities and colors. The domain of the transfer function is typically the one-dimensional space of scalar data values. This paper advances the use of curvature information in multi-dimensional transfer functions, with a methodology for computing high-quality curvature measurements. The proposed methodology combines an implicit formulation of curvature with convolution-based reconstruction of the field. We give concrete guidelines for implementing the methodology, and illustrate the importance of choosing accurate filters for computing derivatives with convolution. Curvature-based transfer functions are shown to extend the expressivity and utility of volume rendering through contributions in three different application areas: nonphotorealistic volume rendering, surface smoothing via anisotropic diffusion, and visualization of isosurface uncertainty.