Nonlinear diffusion of normals for crease enhancement

Alexander Belyaev*, Yutaka Ohtake

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

We present a new surface smoothing method. The method enhances sharp variation points of surface normals and, therefore, is good for stable detection of salient surface creases and natural shape segmentation. The method is based on local weighted averaging (diffusion) of surface normals where weights depend nonlinearly on surface curvatures.

Original languageEnglish
Pages (from-to)42-47
Number of pages6
JournalProceedings of SPIE
Volume4476
DOIs
Publication statusPublished - 2 Nov 2001
EventInternational Symposium on Optical Science and Technology 2001 - San Diego, United States
Duration: 29 Jul 200130 Jul 2001

Keywords

  • Adaptive smoothing
  • Nonlinear diffusion of normals
  • Surface creases

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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