MR external photogrammetry
I started to draft some nodes to utilize the other libraries: https://github.com/natowi/meshroom_external_plugins/tree/master/draft It is far from complete, but it is something I work on from time to time.
Converters not implemented in Alicevision but available in openMVG:
openMVG_main_openMVG2Colmap
openMVG_main_openMVG2openMVS
https://openmvg.readthedocs.io/en/latest/software/MVS/MVE/#export-to-mvs-texturing
requires no cuda but is slower
TODO
mve denserecon -> https://github.com/natowi/meshroom_external_plugins/wiki/MVE2EXR -> MR Meshing
Windows binaries https://www.gcc.tu-darmstadt.de/media/gcc/code/mve-20160517-win64.zip
Shading-aware Multi-view Stereo does not require cuda
https://github.com/flanggut/smvs https://github.com/flanggut/smvs/issues/2 https://github.com/flanggut/smvs/files/1473536/smvsrecon.zip "This project is intended as an alternative multi-view stereo step and replaces the dmrecon and scene2pset applications with the smvsrecon"
https://peterfalkingham.com/2016/10/29/photogrammetry-testing-7-smvs-mve/
Dense Reconstruciton without CUDA requirement. Algorithm is somewhat outdated (released in 2010/11)
http://francemapping.free.fr/Portfolio/Prog3D/PMVS2.html (without cuda)
https://www.di.ens.fr/pmvs/documentation.html
https://colmap.github.io/tutorial.html#dense-reconstruction
https://github.com/pmoulon/CMVS-PMVS/tree/master/binariesWin-Linux
https://github.com/qedsoftware/pmvs-gpu (with cuda support, tested with ubuntu only)
Note: I could not get this to work.
^^
OpenSfM is a Structure from Motion library written in Python (no cuda) https://github.com/mapillary/OpenSfM https://www.opensfm.org/docs/using.html https://www.opensfm.org/docs/building.html
https://github.com/mavmap/mavmap
"Using a combination of points and lines has the potential to improve SfM for indoor-and urban environments, where distinctive feature-points are rare" https://pure.tugraz.at/ws/portalfiles/portal/2694275/hofer_gcpr15.pdf