Photogrammetry Testing 11: VisualSFM & OpenMVS (and COLMAP+openMVS)

  Here’s the original post, with links to all posts This post was updated 27/5/17 – see end of post; turns out using COLMAP for sparse reconstruction let openMVS create an awesome mesh. Normally I see OpenMVS mentioned in the same breath as OpenMVG, but I’m still having significant troubles with OpenMVG behaving with this dataset, so I’ll run the matching with VisualSFM. Download VisualSFM here: http://ccwu.me/vsfm/ And Download OpenMVS binaries here: http://cdcseacave.github.io/openMVS/ (or build it yourself from source.) It’s a while since I’ve used VisualSFM, preferring COLMAP recently.  My word it is fast! 95 seconds to a full reconstruction … Continue reading Photogrammetry Testing 11: VisualSFM & OpenMVS (and COLMAP+openMVS)

Photogrammetry Testing: Doing it properly (by someone else)

If you’ve been following my vague attempts to try different pieces of photogrammetry software, I imagine you will be very interested indeed to read the following paper: Knapitsch et al 2017 (link to paper at the bottom of that page). The authors generate some lovely ground truth data with laser scanners, then record images with video cameras. Then they throw everything at the data sets and rank the software pipelines based on accuracy. SPOILERS: Looks like COLMAP (which I cover here) performs best out of the freely available options, by a fair margin. As an aside, I’ve been running COLMAP … Continue reading Photogrammetry Testing: Doing it properly (by someone else)