Name
Abstract | ||
|---|---|---|
Local motion measurement errors are used to guide the global smoothing process in order to preserve motion-field discontinuities. A field-smoothing algorithm based on matching-error weighting is proposed. The added computation is minimal, since it uses byproducts of the local measurement process. The error-weighting functional provides significantly improved motion field estimates, as measured by motion-compensated interpolation performance. However, the mean-square reconstruction error is somewhat higher than that obtained by performing the much more computationally expensive stochastic optimization. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/83.217228 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
image reconstruction,measurement errors,motion estimation,error-weighted regularization algorithm,field-smoothing algorithm,global smoothing process,image motion-field estimation,local motion measurement errors,matching-error weighting,mean-square reconstruction error,motion field estimates,motion-compensated interpolation,motion-field discontinuities | Iterative reconstruction,Computer vision,Stochastic optimization,Weighting,Motion field,Interpolation,Algorithm,Smoothing,Artificial intelligence,Motion estimation,Observational error,Mathematics | Journal |
Volume | Issue | ISSN |
2 | 2 | 1057-7149 |
Citations | PageRank | References |
6 | 0.87 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zheng, H. | 1 | 6 | 0.87 |
| Steven D. Blostein | 2 | 329 | 61.46 |