Comments (3)
You can find it for instance in our review paper, especially in Section 3.4 (it is described on a triangulation, but the same apply on a grid by considering 4 or 8 neighboring triangles around each point).
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Thank you so much!
from numerical-tours.
Apologies for reviving an old thread but I am also interested in digging a bit more into anisotropic fast marching for cartesian grids (images). I tried looking at the code and the review paper listed above but got a bit confused. Would it be possible to share a bit more insight?
Section 3.4 of the review paper doesn't specifically talk about anisotropic fast marching. A quick bibliography search point to a few potential options, e.g.:
- https://doi.org/10.1137/120861667
- https://doi.org/10.1007/978-3-540-73273-0_57
- https://doi.org/10.1155/2008/320195
- http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54344
It would thus be helpful to better understand what is implemented in the fastmarching_3_anisotropy notebook.
Indeed, looking at this fastmarching_3_anisotropy notebook, I see it calls fm2dAniso but that files doesn't provide much comments on the method being implemented.
I also saw the perform_front_propagation_anisotropic.cpp file but this refers to files that are missing from the repository: anisotropic-fm/AnisotropicTensorDistance.h
and anisotropic-fm/AnisotropicTensorDistanceConfidence.h
. I tried looking for these but only found this which may or may not be related:
https://github.com/gjacopo/imtools/blob/master/propagation/src/GCM/AnisotropicTensorDistanceConfidence.h
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Related Issues (20)
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