Name
Abstract | ||
|---|---|---|
In this paper, a region based parametric motion estimation approach is proposed. As a feature based approach, sequential images are firstly represented in a multi-scale region hierarchy, then temporally adjacent region sets are matched along scale-space by symbolic optimization of compound criteria based region similarity, so that temporal region correspondence and the parametric motion representation can be obtained. The motion of regions is represented in affine transformation and estimated in a coarse-to-fine manner so that an intrinsic topological constraint can be applied to enhance the stability of the optimization. Finally, the regions are grouped to uniform motion region (UMR) by their motion consistency to realize a compact representation. Compared with classical optical flow methods, our approach shows three advantages. First, motion meaning is easily to interpret in high-level. Second, fundamental problem such as aperture problem, boundary problem, or large motion problem can be some what tackled by applying structure information. Third, computation is more stable and efficient because of the symbolic feature-based methodology and the multi-scale framework. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICPR.2000.903679 | ICPR |
Keywords | Field | DocType |
region similarity,motion consistency,temporal region correspondence,multi-scale region hierarchy,parametric motion representation,large motion problem,temporally adjacent region set,uniform motion region,motion meaning,parametric motion estimation approach,optical flow,computer vision,flowcharts,image reconstruction,layout,scale space,image segmentation,aperture problem,affine transformation,motion estimation,boundary problem | Structure from motion,Affine transformation,Computer vision,Motion field,Computer science,Parametric statistics,Artificial intelligence,Boundary problem,Motion estimation,Optical flow,Computation | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changbo Hu | 1 | 613 | 34.71 |
| l i yi | 2 | 22 | 2.24 |
| S. Ma | 3 | 1350 | 120.77 |
| Hanqing Lu | 4 | 4620 | 291.38 |