Texture-based feature tracking for effective time-varying data visualization
Texture-based feature tracking for effective time-varying data visualization
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DOI：
10.1109/tvcg.2007.70599
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发表时间：
2007-11-01
影响因子：
5.2
通讯作者：
Rheingans, Penny
中科院分区：
文献类型：
--
作者：
Caban, Jesus J.;Joshi, Alark;Rheingans, Penny
分析，可视化，并说明随时间变化的体积数据的变化是具有挑战性的，由于时间步长之间发生的动态变化。计算流体动力学体积和大气3D数据集的变化和变化不遵循任何特定的变换。数据中的特征以不同的速度和方向移动，使得这些特征的跟踪和可视化成为一项困难的任务。我们引入了一种基于纹理的特征跟踪技术，以克服当前在随时间变化的体积数据的动态变化的图示和可视化中发现的一些限制。我们基于纹理的技术单独跟踪各种特征，然后使用跟踪的对象来更好地可视化结构变化。我们证明了我们的基于纹理的跟踪技术与合成和真实的世界随时间变化的数据的有效性。此外，我们强调了我们的技术的具体可视化，注释，注册和功能隔离的好处。例如，我们展示了我们基于纹理的跟踪如何能够对时变数据进行有见地的可视化。这样的可视化，比传统的可视化技术，可以帮助领域科学家探索和理解动态变化。
Analyzing, visualizing, and illustrating changes within time-varying volumetric data is challenging due to the dynamic changes occurring between timesteps. The changes and variations in computational fluid dynamic volumes and atmospheric 3D datasets do not follow any particular transformation. Features within the data move at different speeds and directions making the tracking and visualization of these features a difficult task. We introduce a texture-based feature tracking technique to overcome some of the current limitations found in the illustration and visualization of dynamic changes within time-varying volumetric data. Our texture-based technique tracks various features individually and then uses the tracked objects to better visualize structural changes. We show the effectiveness of our texture-based tracking technique with both synthetic and real world time-varying data. Furthermore, we highlight the specific visualization, annotation, registration, and feature isolation benefits of our technique. For instance, we show how our texture-based tracking can lead to insightful visualizations of time-varying data. Such visualizations, more than traditional visualization techniques, can assist domain scientists to explore and understand dynamic changes.