Name
Title | ||
|---|---|---|
USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images |
Abstract | ||
|---|---|---|
Image smoothing, segmentation and registration are three key processing steps in many computer vision appli- cations. In this paper, we present a novel framework for achieving all three seemingly disparate goals simultane- ously across multiple images in a unified framework via a single variational principle. The proposed method ensures that the estimated registration is unbiased and all compo- sitions of registration maps are compatible. The solution to the variational problem is achieved efficiently by solv- ing a coupled system of partial differential equations over the common domain on which the registration maps are defined. The effectiveness of the proposed framework is demonstrated on sets of real images. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICCV.2007.4408969 | ICCV |
Keywords | Field | DocType |
computer vision,image registration,image segmentation,partial differential equations,smoothing methods,variational techniques,computer vision applications,estimated registration,image registration,image segmentation,image smoothing,partial differential equations,registration maps,single variational principle,unified variational framework | Computer vision,Pattern recognition,Computer science,Segmentation,Variational principle,Image segmentation,Smoothing,Artificial intelligence,Real image,Partial differential equation,Image registration | Conference |
Volume | Issue | ISSN |
2007 | 1 | 1550-5499 |
Citations | PageRank | References |
9 | 0.65 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas A. Lord | 1 | 51 | 4.74 |
| Jeffrey Ho | 2 | 2190 | 101.78 |
| B.C. Vemuri | 3 | 4208 | 536.42 |