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  Detection of Surface Creases in Range Data

Belyaev, A., & Anoshkina, E. (2005). Detection of Surface Creases in Range Data. In Mathematics of surfaces XI: 11th IMA International Conference (pp. 50-61). Berlin, Germany: Springer.

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 Creators:
Belyaev, Alexander1, Author           
Anoshkina, Elena, Author
Martin, Ralph, Editor
Bez, Helmut, Editor
Sabin, Malcolm, Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: We propose a fully automatic and view-independent computational procedure for detecting salient curvature extrema in range data. Our method consists of two major steps: (1) smoothing given range data by applying a nonlinear diffusion of normals with automatic thresholding; (2) using a Canny-like non-maximum suppression and hysteresis thresholding operations for detecting crease pixels. A delicate analysis of curvature extrema properties allows us to make those Canny-like image processing operations orientation-independent. The detected patterns of creases can be considered as ``shape fingerprints''. The proposed method can be potentially used for shape recognition, quality evaluation, and matching purposes.

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Language(s): eng - English
 Dates: 2006-04-212005
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 279033
Other: Local-ID: C125675300671F7B-176630E99AE89F35C12570F8003AA2C6-Belyaev_mos05
 Degree: -

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Title: Untitled Event
Place of Event: Loughborough, UK
Start-/End Date: 2005-09-05

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Title: Mathematics of surfaces XI : 11th IMA International Conference
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 50 - 61 Identifier: ISBN: 3-540-28225-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 3604 Sequence Number: - Start / End Page: - Identifier: -