Combining sampling and autoregression for motion synthesis

D. Oziem, N. Campbell, C. Dalton, D. Gibson, B. Thomas
Proceedings Computer Graphics International, 2004.  
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
more » ... his system can model complicated nonstationary sequences which a single ARP is unable to do.
doi:10.1109/cgi.2004.1309255 dblp:conf/cgi/OziemCDGT04 fatcat:xinxydhyjbc23pucad5pfo547m