Research Papers
MVE includes an implementation of Michael Goesele's Multi-View Stereo algorithm that computes dense, highly accurate depth maps even from uncontrolled image collections.
Multi-View Stereo for Community Photo Collections — Website
Michael Goesele, Noah Snavely, Brian Curless, Hugues Hoppe and Steven M. Seitz
In: Proceedings of ICCV 2007, Rio de Janeiro, Brasil, October 14-20, 2007.
Another MVS approach that works with MVE is available on Github.
Shading-aware Multi-view Stereo — Website
F. Langguth and K. Sunkavalli and S. Hadap and M. Goesele
In: Proceedings of the European Conference on Computer Vision, 2016, ECCC.
MVE includes the Floating Scale Surface Reconstruction code to create a global surface mesh from dense MVS.
Floating Scale Surface Reconstruction — Paper, 11MB
Simon Fuhrmann and Michael Goesele
In: ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2014), Vancouver, Canada, 2014.
Related papers:
Surface Reconstruction from Multi-Resolution Sample Points
Patrick Mücke, Ronny Klowsky and Michael Goesele
In: Proceedings of Vision, Modeling, and Visualization (VMV 2011), Berlin, Germany, October 4-6, 2011.
Fusion of Depth Maps with Multiple Scales — Paper, 9MB
Simon Fuhrmann and Michael Goesele
In: ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia 2011), Hong Kong, China, 2011.
A high-quality texture from the input images for the final mesh model can be generated using an approach described in this paper. Their code is based on MVE.
Let There Be Color! – Large-Scale Texturing of 3D Reconstructions
Michael Waechter, Nils Moehrle and Michael Goesele
In: Proceedings of European Conference on Computer Vision 2014, Zurich, Switzerland, 2014.