Title: Highlight on a feature extracted at fine scales: the pointwise Lipschitz regularity
Authors: Damerval, Christophe
Meignen, Sylvain #
Issue Date: 1-Jun-2009
Publisher: Springer
Host Document: Scale space and variational methods in computer vision vol:5567/2009 pages:782-794
Conference: Scale-Space and Variational Methods edition:2 location:Voss, Norway date:1-5 June 2009
Abstract: The aim of this paper is to study the robustness of the pointwise Lipschitz regularity in 2D, which is a measure of the local regularity of the intensity function associated to an image. This regularity can be efficiently computed
by an approach based on fine scales. We assess its robustness when the image undergoes various transformations, especially geometric ones. The results we obtain show that the pointwise Lipschitz regularity is a suitable feature for applications in computer vision.
ISBN: 978-3-642-02255-5
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IC
Appears in Collections:NUMA, Numerical Analysis and Applied Mathematics Section
# (joint) last author

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