Name
Abstract | ||
|---|---|---|
In model-based coding of facial images, the accuracy of motion and depth parameter estimates strongly affects the coding efficiency. MBASIC (model-based analysis-synthesis image coding) is a simple and effective iterative algorithm recently proposed by Aizawa et el. (see Signal Processing: Image Communication, no.1, p.139-52, 1989) for 3-D motion and depth estimation when the initial depth estimates are relatively accurate. In this correspondence, we analyze its performance in the presence of errors in the initial depth estimates and propose a modification to MBASIC algorithm that significantly improves its robustness to random errors with only a small increase in the computational load |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1109/83.334971 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
parameter estimation,video compression,algorithm design and analysis,coding efficiency,robustness,orthographic projection,random errors,iterative algorithm,motion estimation,image analysis,signal processing,iterative methods | Signal processing,Computer science,Robustness (computer science),Artificial intelligence,Motion estimation,Estimation theory,Computer vision,Algorithmic efficiency,Algorithm design,Pattern recognition,Iterative method,Algorithm,Data compression | Journal |
Volume | Issue | ISSN |
3 | 5 | 1057-7149 |
Citations | PageRank | References |
5 | 0.89 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gozde Bozdagi Akar | 1 | 129 | 20.15 |
| A. Murat Tekalp | 2 | 2603 | 278.04 |
| Levent Onural | 3 | 110 | 16.83 |