Name
Abstract | ||
|---|---|---|
A novel correspondence-less approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is found simply by solving a system of nonlinear equations. Each equation is generated by integrating a nonlinear function over the object's domains. We derive recursive formulas for the efficient computation of these integrals. Based on a series of comparative tests on a large synthetic dataset, our triangular mesh-based algorithm outperforms state of the art methods both in terms of computing time and accuracy. The applicability of the proposed approach has been demonstrated on the registration of 3D lung CT volumes. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CVPR.2013.295 | Computer Vision and Pattern Recognition |
Keywords | Field | DocType |
computerised tomography,deformation,image registration,image representation,integral equations,medical image processing,mesh generation,nonlinear equations,nonlinear functions,splines (mathematics),3D deformable object representation,3D lung CT volume registration,correspondence less nonrigid registration,integral,nonlinear equation,nonlinear function integration,recursive formula,thin plate spline map,transformation alignment,triangular mesh-based algorithm,triangular surface mesh,3D object,Registration,Sufrace Mesh,Thin Plate Spline | Computer vision,Nonlinear system,Thin plate spline,Polygon mesh,Computer science,Integral equation,Artificial intelligence,Image registration,Mesh generation,Computation,Triangle mesh | Conference |
Volume | Issue | ISSN |
2013 | 1 | 1063-6919 |
Citations | PageRank | References |
7 | 0.47 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zsolt Sánta | 1 | 9 | 1.84 |
| Zoltan Kato | 2 | 265 | 28.28 |