Abstract | ||
---|---|---|
We describe a convex programming framework for pose estimation in 2D/3D point-set registration with unknown point correspondences. We give two mixed-integer nonlinear program (MINLP) formulations of the 2D/3D registration problem when there are multiple 2D images, and propose convex relaxations for both the MINLPs to semidefinite programs that can be solved efficiently by interior point methods. O... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TIP.2016.2540810 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Three-dimensional displays,Solid modeling,Programming,Biomedical imaging,Optimization | Second-order cone programming,Computer vision,Point set registration,Mathematical optimization,Convex combination,Artificial intelligence,Conic optimization,Proper convex function,Convex optimization,Linear matrix inequality,Semidefinite programming,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 7 | 1057-7149 |
Citations | PageRank | References |
4 | 0.40 | 16 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuehaw Khoo | 1 | 32 | 6.04 |
Ankur Kapoor | 2 | 8 | 0.78 |