CVFX Lecture 25: Multiview stereo

ECSE-6969 Computer Vision for Visual Effects
Rich Radke, Rensselaer Polytechnic Institute
Lecture 25: Multiview stereo (4/28/14)

0:00:01 Multiview stereo introduction
0:07:50 Multiview stereo benchmarking
0:10:20 Volumetric methods
0:17:30 Surface deformation methods
0:23:57 Surface-based reprojection
0:28:17 Patch-based methods
0:35:51 Patch-based reconstruction videos
0:38:33 Patch-based MVS software
0:44:45 MVS on smartphones and PCs
0:48:41 MVS in L.A. Noire
0:51:20 Artificial lens blur from MVS

Follows Section 8.3 of the textbook. http://cvfxbook.com

Key references:

Y. Furukawa and J. Ponce. Accurate, dense, and robust multiview stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(8):1362--76, Aug. 2010.
http://dx.doi.org/10.1109/TPAMI.2009.161

S. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski. A comparison and evaluation of multi-view stereo reconstruction algorithms. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
http://dx.doi.org/10.1109/CVPR.2006.19

C. Strecha, W. von Hansen, L. Van Gool, P. Fua, and U. Thoennessen. On benchmarking camera calibration and multi-view stereo for high resolution imagery. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
http://dx.doi.org/10.1109/CVPR.2008.4...

K. N. Kutulakos and S. M. Seitz. A theory of shape by space carving. International Journal of Computer Vision, 38(3):199--218, July 2000.
http://dx.doi.org/10.1023/A:100819122...

J.-P. Pons, R. Keriven, and O. Faugeras. Multi-view stereo reconstruction and scene flow estimation with a global image-based matching score. International Journal of Computer Vision, 72(2):179--93, June 2007.
http://dx.doi.org/10.1007/s11263-006-...

M. Goesele, B. Curless, and S. Seitz. Multi-view stereo revisited. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
http://dx.doi.org/10.1109/CVPR.2006.199