Name
Abstract | ||
|---|---|---|
This paper presents an interpretation of a classic optical flow method by Nagel and Enkelmann as a tensor-driven anisotropic diffusion approach in digital image analysis. We introduce an improvement into the model formulation, and we establish well-posedness results for the resulting system of parabolic partial Differential equations. Our method avoids linearizations in the optical flow constraint, and it can recover displacement fields which are far beyond the typical one-pixel limits that are characteristic for many Differential methods for optical flow recovery. A robust numerical scheme is presented in detail. We avoid convergence to irrelevant local minima by embedding our method into a linear scale-space framework and using a focusing strategy from coarse to fine scales. The high accuracy of the proposed method is demonstrated by means of a synthetic and a real-world image sequence. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/3-540-48236-9_21 | Scale-Space |
Keywords | Field | DocType |
scale space,parabolic partial differential equation,optical flow | Anisotropic diffusion,Mathematical analysis,Computer science,Horn–Schunck method,Scale space,Maxima and minima,Partial differential equation,Optical flow,Linearization,Parabola | Conference |
Volume | ISSN | ISBN |
1682 | 0302-9743 | 3-540-66498-X |
Citations | PageRank | References |
36 | 2.82 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Alvarez | 1 | 285 | 39.37 |
| Joachim Weickert | 2 | 5489 | 391.03 |
| Javier Sánchez | 3 | 383 | 31.84 |