Name
Abstract | ||
|---|---|---|
In this paper, we address the topic of estimating two-frame dense optical flow from the monogenic curvature tensor. The monogenic curvature tensor is a novel image model, from which local phases of image structures can be obtained in a multi-scale way. We adapt the combined local and global (CLG) optical flow estimation approach to our framework. In this way, the intensity constraint equation is replaced by the local phase vector information. Optical flow estimation under the illumination change is investigated in detail. Experimental results demonstrate that our approach gives accurate estimation and is robust against noise contamination. Compared with the intensity based approach, the proposed method shows much better performance in estimating flow fields under brightness variations. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72823-8_21 | SSVM |
Keywords | Field | DocType |
dense optical flow estimation,flow field,image structure,local phase,optical flow estimation,monogenic curvature tensor,intensity constraint equation,two-frame dense optical flow,local phase vector information,accurate estimation,optical flow estimation approach,curvature tensor,optical flow,phase | Mathematical analysis,Flow (psychology),Phasor,Constraint algorithm,Optical flow estimation,Riemann curvature tensor,Geometry,Optical flow,Brightness,Mathematics | Conference |
Volume | ISSN | Citations |
4485 | 0302-9743 | 16 |
PageRank | References | Authors |
1.06 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Di Zang | 1 | 98 | 12.40 |
| Lennart Wietzke | 2 | 163 | 11.40 |
| Christian Schmaltz | 3 | 146 | 10.53 |
| Gerald Sommer | 4 | 269 | 21.93 |