کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
441583 691786 2012 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Feature-aware streamline generation of planar vector fields via topological methods
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
Feature-aware streamline generation of planar vector fields via topological methods
چکیده انگلیسی

Methods for vector field visualization strive to have a sparse representation of the field, while encoding all of its important features. Streamline visualization is one of the most popular such methods. Traditionally, a set of streamline methods have focused on capturing the salient features of the vector field such as sources, sinks, and vortices. However, not all features are created equal, and some features of the vector field are more important than others, which could simply be mere noise. It is this problem of characterizing feature importance through streamline visualization that we try to address in this paper. Specifically, a given 2D vector field can be decomposed into a rotation-free (gradient) component, divergence-free (curl) component and a harmonic component by the so-called Hodge decomposition. Features in the original vector field, in some sense, correspond to features in the first two components. Furthermore, the gradient and curl components are each induced by a scalar field. By analyzing these two corresponding scalar fields using topological methods (in particular the contour tree and the persistent homology), we develop a simple and novel algorithm whose streamline density tends to reflect the topological importance of the features in the input vector field. Such a feature-aware streamline sketch is more informative, yet still simple both visually and in terms of its generation. It enhances our understanding of the underlying vector field, which is demonstrated here by several experimental results.

Figure optionsDownload high-quality image (313 K)Download as PowerPoint slideHighlights
► We use streamlines to encode importance of topological features of 2D vector fields.
► We use Hodge decomposition to obtain two scalar fields from the 2D vector fields.
► We use persistent homology and contour trees to analyze the resulting scalar fields.
► We present a simple algorithm with no global optimization for the streamlines layout.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Graphics - Volume 36, Issue 6, October 2012, Pages 754–766
نویسندگان
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