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Expressive seeding of multiple stream surfaces for interactive flow exploration

机译:多个流表面的富有表现力的播种,用于交互式流探索

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Integral surfaces, such as stream and path surfaces, are highly effective in the context of the exploration and the analysis of the long-term behavior of three-dimensional flows. However, specifying the seeding curves that lead to an expressive set of integral surfaces is a challenging and cumbersome task. In this paper, we propose an algorithm for automatically seeding multiple stream surfaces around a user-specified location of interest. The process is guided by a streamline similarity measure. Within the resulting integral surfaces, adjacent streamlines are as similar as possible to each other. In addition, we aim at conveying different aspects of the flow behavior with each surface. This is achieved by maximizing the dissimilarity between streamlines from different stream surfaces. The capabilities of our technique are demonstrated on a number of application cases. We provide a qualitative comparison with two state-of-the-art approaches. We report from our detailed exchange with a domain expert concerning the expressiveness and usefulness of our approach. A thorough analysis of the few parameters involved is provided. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在探索和分析三维流动的长期行为方面,整体表面(例如水流和路径表面)非常有效。但是,指定导致一组整体表面具有表现力的种子曲线是一项艰巨而繁琐的任务。在本文中,我们提出了一种算法,用于在用户指定的感兴趣位置周围自动播种多个流表面。该过程以简化的相似性度量为指导。在得到的整体表面内,相邻的流线尽可能彼此相似。此外,我们旨在传达每个表面的流动行为的不同方面。这是通过最大化来自不同河流表面的流线之间的差异来实现的。我们的技术的功能在许多应用案例中得到了证明。我们提供了两种最先进方法的定性比较。我们与领域专家进行了详细的交流,汇报了我们方法的表达性和实用性。提供了对所涉及的几个参数的全面分析。 (C)2015 Elsevier Ltd.保留所有权利。

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