Presented by:
Laurent Cohen
Date:
Wednesday 6th September 2017 - 09:00 to 09:50
Venue:
INI Seminar Room 1
Abstract:
Minimal paths have been
used for long as an interactive tool to find edges or tubular structures as
cost minimizing curves. The user usually provides start and end points on the
image and gets the minimal path as output. These minimal paths correspond to
minimal geodesics according to some adapted metric. They are a way to find a
(set of) curve(s) globally minimizing the geodesic active contours energy.
Finding a geodesic distance can be solved by the Eikonal equation using the
fast and efficient Fast Marching method.
Different metrics can be adapted to various problems. In the past years we have introduced different extensions of these minimal paths that improve either the interactive aspects or the results. For example, the metric can take into account both scale and orientation of the path. This leads to solving an anisotropic minimal path in a 2D or 3D+radius space.
We recently introduced the use of Finsler metrics allowing to take into account the local curvature in order to smooth the path. It can also be adapted to take into account a region term inside the closed curve formed by a set of minimal geodesics.
Co-authors: Da Chen and J.-M. Mirebeau
Different metrics can be adapted to various problems. In the past years we have introduced different extensions of these minimal paths that improve either the interactive aspects or the results. For example, the metric can take into account both scale and orientation of the path. This leads to solving an anisotropic minimal path in a 2D or 3D+radius space.
We recently introduced the use of Finsler metrics allowing to take into account the local curvature in order to smooth the path. It can also be adapted to take into account a region term inside the closed curve formed by a set of minimal geodesics.
Co-authors: Da Chen and J.-M. Mirebeau
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