Intrinsic stabilizers of planar curves

  • H. Delingette
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 801)


Regularization offers a powerful framework for signal reconstruction by enforcing weak constraints through the use of stabilizers. Stabilizers are functionals measuring the degree of smoothness of a surface. The nature of those functionals constrains the properties of the reconstructed signal. In this paper, we first analyze the invariance of stabilizers with respect to size, transformation and their ability to control scale at which the smoothness is evaluated. Tikhonov stabilizers are widely used in computer vision, even though they do not incorporate any notion of scale and may result in serious shape distortion. We first introduce an extension of Tikhonov stabilizers that offers natural scale control of regularity. We then introduce the intrinsic stabilizers for planar curves that apply smoothness constraints on the curvature profile instead of the parameter space.


Active Contour Curvature Profile Rigid Motion Planar Curf Intrinsic Stabilizer 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • H. Delingette
    • 1
  1. 1.Projet EpidaureI.N.R.I.ASophia-AntipolisFrance

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