Name
Abstract | ||
|---|---|---|
Facial feature tracking for model-based coding has evolved over the past decades. Of particular interest is its application in very low bit rate coding in which optimization is used to analyze head and shoulder sequences. We present the results of a computational experiment in which we apply a combination of non-dominated sorting genetic algorithm and a deterministic search to find optimal facial animation parameters at many bandwidths simultaneously. As objective functions are concerned, peak signal-to-noise ratio is maximized while the total number of facial animation parameters is minimized. Particularly, the algorithm is tested for efficiency and reliability. The results show that the overall methodology works effectively, but that a better error assessment function is needed for future study. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.4018/jaec.2010010104 | IJAEC |
Keywords | Field | DocType |
low bit rate,genetic algorithm,evolutionary multiobjective optimization,optimal facial animation parameter,future study,computational experiment,better error assessment function,model-based coding,facial feature tracking,facial animation parameter,deterministic search,multiobjective optimization | Mathematical optimization,Computer science,Low bit rate coding,Sorting,Multi-objective optimization,Coding (social sciences),Artificial intelligence,Computer facial animation,Machine learning,Genetic algorithm,Feature tracking | Journal |
Volume | Issue | Citations |
1 | 1 | 0 |
PageRank | References | Authors |
0.34 | 17 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric C. Larson | 1 | 583 | 30.46 |
| Gary G. Yen | 2 | 1744 | 94.45 |