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  Pattern Search in Flows based on Similarity of Stream Line Segments

Wang, Z., Martinez Esturo, J., Seidel, H.-P., & Weinkauf, T. (2014). Pattern Search in Flows based on Similarity of Stream Line Segments. In J. Bender, & A. Kuijper (Eds.), VMV 2014 Vision, Modeling and Visualization (pp. 23-30). Goslar: Eurographics Association.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-5337-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-3091-7
Genre: Conference Paper

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 Creators:
Wang, Zhongjie1, Author           
Martinez Esturo, Janick1, Author           
Seidel, Hans-Peter1, Author                 
Weinkauf, Tino1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: We propose a method that allows users to define flow features in form of patterns represented as sparse sets of stream line segments. Our approach finds similar occurrences in the same or other time steps. Related approaches define patterns using dense, local stencils or support only single segments. Our patterns are defined sparsely and can have a significant extent, i.e., they are integration-based and not local. This allows for a greater flexibility in defining features of interest. Similarity is measured using intrinsic curve properties only, which enables invariance to location, orientation, and scale. Our method starts with splitting stream lines using globally-consistent segmentation criteria. It strives to maintain the visually apparent features of the flow as a collection of stream line segments. Most importantly, it provides similar segmentations for similar flow structures. For user-defined patterns of curve segments, our algorithm finds similar ones that are invariant to similarity transformations. We showcase the utility of our method using different 2D and 3D flow fields.

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Language(s): eng - English
 Dates: 20142014-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: wang14
BibTex Citekey: 10.2312/vmv.20141272
 Degree: -

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Title: 19th International Workshop on Vision, Modeling and Visualization
Place of Event: Darmstadt, Germany
Start-/End Date: 2014-10-08 - 2014-10-10

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Title: VMV 2014 Vision, Modeling and Visualization
  Subtitle : Darmstadt, Germany, October 08 – 10, 2014
  Abbreviation : VMV 2014
Source Genre: Proceedings
 Creator(s):
Bender, Jan1, Editor
Kuijper, Arjan1, Editor
von Landesberger, Tatiana1, Author
Theisel, Holger1, Author           
Urban, Philipp1, Author
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Goslar : Eurographics Association
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 23 - 30 Identifier: -