Name
Abstract | ||
|---|---|---|
This note describes a non-rigid image registration approach that parametrizes the deformation field by an additive composition of a similarity transformation and a set of Gaussian radial basis functions. The bases' centers, variances, and weights are determined with a global optimization approach that is introduced in this work. This approach consists of simulated annealing with a particle filter based generator function to perform the optimization. Additionally, a local refinement is performed to capture the remaining misalignment. The deformation is constrained to be physically meaningful (i.e., invertible). Results on 2D and 3D data sets demonstrate the algorithm's robustness to large deformations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/12.2004400 | IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XI |
Keywords | Field | DocType |
Non-rigid, registration, particle filter, simulated annealing, implicit regularization, stochastic optimization | Simulated annealing,Computer vision,Data set,Matrix similarity,Stochastic optimization,Global optimization,Particle filter,Robustness (computer science),Artificial intelligence,Image registration,Physics | Conference |
Volume | ISSN | Citations |
8655 | 0277-786X | 2 |
PageRank | References | Authors |
0.39 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivan Kolesov | 1 | 17 | 3.45 |
| Jehoon Lee | 2 | 37 | 9.61 |
| Patricio A Vela | 3 | 369 | 39.12 |
| Allen Tannenbaum | 4 | 3629 | 409.15 |