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ICCV
2001
IEEE

Confidence and Curvature Estimation of Curvilinear Structures in 3-D

12 years 8 months ago
Confidence and Curvature Estimation of Curvilinear Structures in 3-D
In this paper we present a new method for estimating confidence and curvature of 3-D curvilinear structures. The gradient structure tensor (GST) models shift-invariance. The eigenstructure of the tensor allows estimation of local dimensionality, orientation, and the corresponding confidence value. Local rotational invariance, which occurs often in images, causes a lower confidence estimate. This underestimation can be corrected for by a parabolic deformation of the data, in such a way that it becomes translational invariant. We show that the optimal deformation can be found analytically and yields a local curvature estimate as a valuable by-product. We tested our new method on synthetic images and applied it to the detection of channels in 3-D seismic data.
Peter Bakker, Lucas J. van Vliet, Piet W. Verbeek
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2001
Where ICCV
Authors Peter Bakker, Lucas J. van Vliet, Piet W. Verbeek
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