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Separatrix Persistence: Extraction of Salient Edges on Surfaces Using Topological Methods
Courant Institute, New York University, USA. (Visualization and Data Analysis)ORCID iD: 0000-0002-1498-9062
2009 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 28, no 5, p. 1519-1528Article in journal (Refereed) Published
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Text
Abstract [en]

Salient edges are perceptually prominent features of a surface. Most previous extraction schemes utilize the notion of ridges and valleys for their detection, thereby requiring curvature derivatives which are rather sensitive to noise. We introduce a novel method for salient edge extraction which does not depend on curvature derivatives. It is based on a topological analysis of the principal curvatures and salient edges of the surface are identified as parts of separatrices of the topological skeleton. Previous topological approaches obtain results including non-salient edges due to inherent properties of the underlying algorithms. We extend the profound theory by introducing the novel concept of separatrix persistence, which is a smooth measure along a separatrix and allows to keep its most salient parts only. We compare our results with other methods for salient edge extraction.

Place, publisher, year, edition, pages
2009. Vol. 28, no 5, p. 1519-1528
Keyword [en]
feature extraction, topology
National Category
Computer Sciences
Research subject
Computer Science; SRA - E-Science (SeRC)
Identifiers
URN: urn:nbn:se:kth:diva-184777DOI: 10.1111/j.1467-8659.2009.01528.xISI: 000268597500027Scopus ID: 2-s2.0-70049111763OAI: oai:DiVA.org:kth-184777DiVA: diva2:916783
Conference
7th Eurographics Symposium on Geometry Processing (SGP), July 15-17, 2009, Berlin Germany
Note

QC 20160405

Available from: 2016-04-04 Created: 2016-04-04 Last updated: 2018-01-10Bibliographically approved

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Publisher's full textScopushttp://www.csc.kth.se/~weinkauf/publications/absweinkauf09b.html

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Weinkauf, Tino

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  • de-DE
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  • nn-NB
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  • Other locale
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Output format
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