Abstract
We present a novel approach to motion synthesis. We show that by splitting sequences into segments we can create new sequences with a similar look and feel to the original. Copying segments of the original data generates a sequence which maintains detailed characteristics. By modelling each segment using an autoregressive process we can introduce new segments and therefore unseen motions. These statistical models allow a potentially infinite number of new segments to be generated. We show that this system can model complicated nonstationary sequences which a single ARP is unable to do
| Translated title of the contribution | Combining Sampling and Autoregression for Motion Synthesis |
|---|---|
| Original language | English |
| Title of host publication | Proceedings of the Computer Graphics International Conference |
| Publisher | IEEE Computer Society |
| Pages | 510 - 513 |
| Number of pages | 4 |
| ISBN (Print) | 0769521711 |
| Publication status | Published - Jun 2004 |