Name
Abstract | ||
|---|---|---|
Retinal image motion and optical flow as its approximation are fundamental concepts in the field of vision, perceptual and computational. However, the computation of optical flow remains a challenging problem as image motion includes discontinuities and multiple values mostly due to scene geometry, surface translucency and various photometric effects such as surface reflectance. In this contribution, we analyze image motion in the frequency space with respect to motion discontinuities and surface translucence. We derive, under models of constant and linear optical flow, the frequency structure of motion discontinuities due to occlusion and we demonstrate its various geometrical properties. The aperture problem is investigated and we show that the information content of an occlusion almost always disambiguates the velocity of an occluding signal suffering from the aperture problem. |
Year | Venue | Keywords |
|---|---|---|
2000 | COMPUTERS AND ARTIFICIAL INTELLIGENCE | image motion,optical flow,Fourier transforms,aperture problem,non-Fourier motion |
Field | DocType | Volume |
Field of view,Computer science,Mathematical analysis,Discontinuity (linguistics),Theoretical computer science,Fourier transform,Artificial intelligence,Computation,Aperture,Computer vision,Classification of discontinuities,Almost surely,Optical flow | Journal | 19 |
Issue | ISSN | Citations |
3 | 0232-0274 | 1 |
PageRank | References | Authors |
0.37 | 18 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven S. Beauchemin | 1 | 81 | 12.00 |
| John L. Barron | 2 | 183 | 27.32 |