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基于曲率的GPU 光线投射

  

  • 出版日期:2012-12-31 发布日期:2015-07-29

GPU Raycasting based on curveture

  • Online:2012-12-31 Published:2015-07-29

摘要: 基于曲率的体绘制十分有用,它可以帮助科学家分析数据特征,设计新的
数学模型。论文在GPU 上实现了基于B 样条滤波和基于线性滤波的按需计算导数、曲率和
光照效果的GPU 光线投射方法。实验结果表明,按需计算方法大大加速了基于B 样条滤波
的GPU 光线投射方法的绘制速度;线性滤波方法绘制速度快于B 样条滤波的方法;基于 B
样条滤波的方法绘制质量更高;可以利用线性滤波的方法交互选择相机设置、转换函数和曲
率函数,突出感兴趣的特征,然后用基于B 样条滤波的方法绘制高质量的图像。

关键词: 计算机应用, GPU, 光线投射, 曲率

Abstract: Curvature-based Volume rendering is a useful method to help scientists to find
features in data set and to design new mathematics model. In this paper, Fast GPU Raycasting
for curvature, in which data are reconstructed with tri-linear filtering and tri-cubic filtering and
derivatives, curvature and shading are computed on demand, is implemented in GPU. As a
result, computing on demand speeds up the method based on tri-cubic filtering; the method
based on tri-linear filtering is faster than the method based on tri-cubic filtering; the method
based on tri-cubic filtering can acquire more smooth result. We can select interactive camera
setting, transfer function and curvature function to highlight interesting feature with the method
based on tri-linear filtering and then render high quality image with the method based on
tri-cubic filtering.

Key words: computer application, GPU, raycasting, curvature