体数据可视化的线绘制视频

Line-Drawing Videos for Volume Visualization

提出一种线绘制视频的可视化方法.一方面,基于体数据和视点的重要性度量使视频能从更有效的视点来观察体数据,并且每帧图像都能对数据场的内容有很高的反映强度;与此同时,视点连续高效地变化,也有利于用户形成关于数据场内容的完整印象.与先进的基于线绘制的交互可视化方法相比,新方法的成像速度和可视化反映强度更高,能以更少的可视化图像达到对数据场内容更全面的认识.

Line drawings provide a fast and succinct approach for volume visualization. However, due to its succinct representation, it is necessary to produce many line drawing images from multiple viewpoints and continually so that viewers can comprehensively understand the contents in volume data. To improve the efficiency on selecting suitable viewpoints for line drawing, this paper presents line-drawing videos for volume visualization. On the one hand, by saliency measurement on volume data and viewpoints, videos are produced by selecting the viewpoints that can render images to show contents more efficiently. At the same time, with the viewpoints changing smoothly and continually, viewers can more efficiently obtain the comprehensive impression of the interesting contents. In comparison with the advanced visualization method by interactive line drawing, the new method can improve the rendering speed and the ability for images to show contents, and so use fewer images to achieve more comprehensive understanding of contents. Of course, the method can improve the efficiency of interactive line drawings for viewers to focus on studying their interested contents, because the results of saliency measurement on volume data and viewpoints provide enough information for viewers to select suitable viewpoints. This is sure to promote volume visualization considerably.