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I recently developed an online cloud service structure-from-motion algorithm for many purposes called CloudSfM (do a Github search ). It combines these three libraries below: OpenMVG (openmvg.readthedocs.org/en/latest) for Global and incremental sparse and dense SFM reconstruction, MVE (http://www.gcc.tu-darmstadt.de/home/proj/mve/) for Multiview Stereo Algorithm, meshing MVS-Texturing (http://www.gcc.tu-darmstadt.de/home/proj/texrecon/) for texture draping I found that the three combination yields very good result, even comparable to that of Agisoft Photoscan. Another open source libraries with quite satisfactory result (as far as I have tried): OpenMVG, combined with OpenMVS TheiaSFM (http://www.theia-sfm.org/) Kitware MapTK (https://github.com/Kitware/maptk), motion imagery aerial photogrammetry toolkit, which accept input from a video to produce orthophotos and 3D models SURE Photogrammetry (http://www.ifp.uni-stuttgart.de/publications/software/sure/index.en.html), the only libraries implementing Semi-Global Matching Algorithm that I know. Some research claimed that the result are comparable to that of LiDAR Happy opensourcing!

Hello, UAV recently gain huge popularity, We could find low cost UAV too (we have a recent project using custom fix wing drone that only cost approx under 5000 dollar), but how bout low cost or even free post processing software ? I find this interesting articles and tutorials : http://flightriot.com/tutorials/post-processing/ using open source software like Meshlab, CMPMVS, VisualSFM, and such but, anyone in here have the experience with above method? share your thought