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Fast marching method

Known as: Fast marching 
The fast marching method is a numerical method created by James Sethian for solving boundary value problems of the Eikonal equation: Typically, such… Expand
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Highly Cited
2006
Highly Cited
2006
This paper presents a new sensor based global path planner which operates in two steps. In the first step the safest areas in the… Expand
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Highly Cited
2004
Highly Cited
2004
The fast marching method was introduced by Sethian [190, 191, 192] as a computationally efficient solution to eikonal equations… Expand
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Highly Cited
2004
Highly Cited
2004
  • A. Telea
  • J. Graphics, GPU, & Game Tools
  • 2004
  • Corpus ID: 5908881
Abstract Digital inpainting provides a means for reconstruction of small damaged portions of an image. Although the inpainting… Expand
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Highly Cited
2004
Highly Cited
2004
SUMMARY The fast marching method (FMM) is a grid based numerical scheme for tracking the evolution of monotonically advancing… Expand
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Highly Cited
2004
Highly Cited
2004
Traditional grid-based eikonal schemes for computing traveltimes are usually confined to obtaining first arrivals only. However… Expand
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Highly Cited
2003
Highly Cited
2003
A numerical technique for planar three-dimensional fatigue crack growth simulations is proposed. The new technique couples the… Expand
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Highly Cited
2003
Highly Cited
2003
We introduce the Fast Marching farthest point sampling (FastFPS) approach for the progressive sampling of planar domains and… Expand
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Highly Cited
2002
Highly Cited
2002
We present a simple and robust method for computing skeletons for arbitrary planar objects and centerlines for 3D objects. We… Expand
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Highly Cited
2001
Highly Cited
2001
  • D. Chopp
  • SIAM J. Sci. Comput.
  • 2001
  • Corpus ID: 2401899
The fast marching method published by Sethian [Proc. Natl. Acad. Sci. USA, 93 (1996), pp. 1591--1595] is an optimally efficient… Expand
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Highly Cited
1999
Highly Cited
1999
Level set techniques are numerical techniques for tracking the evolution of interfaces. They rely on two central embeddings… Expand
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