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Charting surface structure

  • Peter T. Sander
  • Steven W. Zucker
Shape Description
Part of the Lecture Notes in Computer Science book series (LNCS, volume 427)

Abstract

Computing surface curvature would seem to be a simple application of differential geometry, but problems arise due to noise and the quantized nature of digital images. We present a method for determining principal curvatures and directions of surfaces estimated from three-dimensional images. We use smoothness constraints to connect different surface points and by then comparing information over local neighbourhoods we iteratively update the information at each point to ensure that this information is consistent over the estimated surface.

Keywords

Principal Curvature Principal Direction Tangent Plane Contextual Neighbourhood Smoothness Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Peter T. Sander
    • 1
    • 2
  • Steven W. Zucker
    • 4
    • 3
  1. 1.INRIA — RocquencourtLe Chesnay CedexFrance
  2. 2.INRIA — Sophia-AntipolisValbonne CedexFrance
  3. 3.McRCIMMcGill UniversityMontréalCanada
  4. 4.Canadian Institute for Advanced ResearchCanada

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