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Hi

I found a small typo in smvs license description :
BSD-3-Clquse license -> BSD-3-Clause license

Hi Pierre,

First of all, thanks for putting this list up, it gives a good summary of what is going on in this field.
I am a physicist working for cultural heritage and I got interested in the use of 3D reconstruction on the side of my "job/phd".

However, in my field, there is a trend of "over trust" toward softwares and lack of assessment. There is not much work about accurate the measurement is (in cultural heritage I mean, not in general).
Most of them are using agisoft photoscan, which does not seem to get the best result.

On the other hand, I see that several work has been done, in particular looking at cultural heritage (ie: rebuilding Rome in one day or blunder) and many example of the algorithm here are using cultural heritage asset.

But these work are rarely reaching people in my field.
I think one of the reason is in term of access. Therefore, I was wondering how hard it is to turn these algorithm into a "basic software" like VisualSFM for example.
I saw that you are behind many executable such as openMSV or blunder, so you might be the best to ask!

Is there any technical difficulties behind or is it just matter of time/interest?
I know it is very easy to exploit command line in a GUI and exploit the executable you complied for example but I would not be that confident regarding the clean compilation and dependencies.

Additionally, how the available softwares like photoscan or realitycapture are performing compare to "the state of the art" develop in research mentioned here?

I would be very interested to push some of these tools to have a more reliable approach to 3D in heritage.

Thanks!

Hi, Dr. Moulon

Thank you so much for this AWESOME list! I learnt a lot from it!

I was wondering if the FSSR paper from MVE lib should be included in the surface reconstruction section as well?
Simon Fuhrmann and Michael Goesele, Floating Scale Surface Reconstruction, In: ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2014), Vancouver, Canada, 2014.

Thank you!
John

I think it would make sense to include information which software support evading the patented feature detection and matching algorithms, either by offering a choice of alternative algorithms (actually, none of the six does that, if I'm not wrong; OpenCV does!) or accepting pre-computed data as an additional input (colmap and OpenMVG seem to be capable of that).

The old link for "Pixelwise View Selection for Unstructured Multi-View Stereo" seems not to be working.

https://demuc.de/papers/schoenberger2016mvs.pdf, seems to work.

Hi Pierre,

Could you add this one to the list : https://github.com/flanggut/smvs

Thanks,

Stephane-lb

( There is also MVIR, but I don't think the source have been released yet )

The slides of the tutorial Introduction of Visual SLAM, Structure from Motion and Multiple View Stereo. Yu Huang 2014 are no longer available

Hi
I recently found an amazing paper on SLAM
CNN-SLAM - http://campar.in.tum.de/Chair/ProjectCNNSLAM

I was wondering if the repo is restricted to work dealing with monocular / multiview stereo or if it accepts works based on stereo / structured devices

Link (http://cvlabwww.epfl.ch/data/multiview/) for data sets 'Dense MVS' is invalid. The data sets can be found at https://icwww.epfl.ch/~marquez/multiview/denseMVS.html now.

since version 3.5:

• https://colmap.github.io/license.html
• https://colmap.github.io/changelog.html