Name
Abstract | ||
|---|---|---|
In this article we discuss the 2D-3D pose estimation problem of 3D free-form surface models. In our scenario we observe free-form surface models in an image of a calibrated camera. Pose estimation means to estimate the relative position and orientation of the 3D object to the reference camera system. The object itself is modelled as a two-parametric surface model which is represented by Fourier descriptors. It enables a low-pass description of the surface model, which is advantageously applied to the pose problem. To achieve the combination of such a signal-based model within the geometry of the pose scenario, the conformal geometric algebra is used and applied. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-45243-0_73 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
geometric algebra,parametric surface,image processing,reliability,pose estimation,low pass,free surface,3d pose estimation | Parametric surface,Computer vision,Free surface,Computer science,3D pose estimation,Image processing,Pose,Fourier transform,Artificial intelligence,Free form,Conformal geometric algebra | Conference |
Volume | ISSN | Citations |
2781 | 0302-9743 | 6 |
PageRank | References | Authors |
0.58 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bodo Rosenhahn | 1 | 1733 | 137.77 |
| Christian Perwass | 2 | 225 | 22.03 |
| Gerald Sommer | 3 | 269 | 21.93 |