Meeting Minutes
November 02, 2015
1. Attendees:
-
Tom Vercauteren
-
Michael Ebner
2. Discussed Topics:
-
Super-Resolution Reconstruction: (Baker & Kanade 2002)
-
Dictionary Learning for sparse representation
-
Possibly useful papers to keep in mind for our reconstruction problem:
-
(Wedel et al. 2009)
-
(Chambolle & Pock 2011)
-
3. Action Items:
-
Reconstruction Algorithm:
-
Implement entire reconstruction pipeline
-
Incorporate additional in-plane registration strategy using vector images
-
-
Other reconstruction toolkits:
-
Further investigation of their codes
-
Swap NVidia graphics card with Yijing and use the Kainz-Code on it
-
-
Further reading on
-
Scattered Data Reconstruction
-
Optimization techniques
-
Super-Resolution
-
Dictionary Learning
-
-
MICCAI fetal challenge: Assess similarity of fetal images and kidney images to find meaningful indicators suitable for evaluating algorithms applied on both
Bibliography:
Baker, S. & Kanade, T., 2002. Limits on Super-Rresolution and How to Break Them. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(9), pp.1167–1183.
Chambolle, A. & Pock, T., 2011. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. Journal of Mathematical Imaging and Vision, 40(1), pp.120–145.
Wedel, A. et al., 2009. An Improved Algorithm for TV-L 1 Optical Flow. In Statistical and Geometrical Approaches to Visual Motion Analysis. Springer, pp. 23–45.