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A Scale Space Based Persistence Measure for Critical Points in 2D Scalar Fields
Zuse Institute Berlin, Germany.
Kaiserslautern, Germany.
Zuse Institute Berlin, Germany.
Zuse Institute Berlin, Germany.
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2011 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 17, no 12, p. 2045-2052Article in journal (Refereed) Published
Abstract [en]

This paper introduces a novel importance measure for critical points in 2D scalar fields. This measure is based on a combination of the deep structure of the scale space with the well-known concept of homological persistence. We enhance the noise robust persistence measure by implicitly taking the hill-, ridge- and outlier-like spatial extent of maxima and minima into account. This allows for the distinction between different types of extrema based on their persistence at multiple scales. Our importance measure can be computed efficiently in an out-of-core setting. To demonstrate the practical relevance of our method we apply it to a synthetic and a real-world data set and evaluate its performance and scalability.

Place, publisher, year, edition, pages
2011. Vol. 17, no 12, p. 2045-2052
Keyword [en]
Scale space, persistence, discrete Morse theory
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-127673DOI: 10.1109/TVCG.2011.159PubMedID: 22034322OAI: oai:DiVA.org:liu-127673DiVA: diva2:926364
Available from: 2016-05-06 Created: 2016-05-06 Last updated: 2018-01-10

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Hotz, Ingrid

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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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