Name
Abstract | ||
|---|---|---|
A technique for the estimation of 2-D normal velocity is presented. The image sequence is first represented by a family of velocity-tuned linear filters. Normal velocity, in the individual filter outputs, is expressed as the local first-order behavior of surfaces of constant phase. Justification for this is discussed, and it is shown to provide an effective basis for the local computation of normal velocity. The resultant approach is local in space-time. It permits multiple velocity estimates within a single neighborhood, and it yields accurate velocity estimates that are robust with respect to noise and perspective deformation |
Year | DOI | Venue |
|---|---|---|
1989 | 10.1109/CVPR.1989.37875 | San Diego, CA |
Keywords | Field | DocType |
filtering and prediction theory,picture processing,2-D normal velocity,image sequence,local first-order behavior,picture processing,velocity estimates,velocity-tuned linear filters | Mathematical analysis,Control theory,Thermal velocity,Artificial intelligence,Picture processing,Deformation (mechanics),Image sequence,Computation,Aperture,Linear filter,Pattern recognition,Proper velocity,Mathematics | Conference |
Volume | Issue | ISSN |
1989 | 1 | 1063-6919 |
Citations | PageRank | References |
18 | 30.18 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David J. Fleet | 1 | 5236 | 550.74 |
| Jepson, A.D. | 2 | 402 | 81.91 |